CVPR2020开源论文(部分带阅读笔记)
参考:https://github.com/CaiYingFeng/CVPR2020-Paper-Code-Interpretation/blob/master/CVPR2020.md
https://zhuanlan.zhihu.com/p/117276733
https://blog.csdn.net/Extremevision/article/details/104789697
CNN
Exploring Self-attention for Image Recognition
论文:https://hszhao.github.io/papers/cvpr20_san.pdf代码:https://github.com/hszhao/SAN
Improving Convolutional Networks with Self-Calibrated Convolutions
主页:https://mmcheng.net/scconv/论文:http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf代码:https://github.com/backseason/SCNet
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
论文:https://arxiv.org/abs/2003.13549
代码:https://github.com/zeiss-microscopy/BSConv
图像分类
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
论文:https://arxiv.org/abs/2003.04490
代码:https://github.com/AdamKortylewski/CompositionalNets
Spatially Attentive Output Layer for Image Classification
论文:https://arxiv.org/abs/2004.07570
代码(好像被原作者删除了):https://github.com/ildoonet/spatially-attentive-output-layer
目标检测
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
论文:https://arxiv.org/abs/2005.09973
代码和数据集:https://github.com/Anymake/DRN_CVPR2020
Scale-Equalizing Pyramid Convolution for Object Detection
论文:https://arxiv.org/abs/2005.03101
代码:https://github.com/jshilong/SEPC
Revisiting the Sibling Head in Object Detector
论文:https://arxiv.org/abs/2003.07540
代码:https://github.com/Sense-X/TSD
Scale-equalizing Pyramid Convolution for Object Detection
论文:暂无
代码:https://github.com/jshilong/SEPC
Detection in Crowded Scenes: One Proposal, Multiple Predictions
论文:https://arxiv.org/abs/2003.09163
代码:https://github.com/megvii-model/CrowdDetection
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
论文:https://arxiv.org/abs/2004.04725
代码:https://github.com/NVlabs/wetectron
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
论文:https://arxiv.org/abs/1912.02424
代码:https://github.com/sfzhang15/ATSS
BiDet: An Efficient Binarized Object Detector
论文:https://arxiv.org/abs/2003.03961
代码:https://github.com/ZiweiWangTHU/BiDet
Harmonizing Transferability and Discriminability for Adapting Object Detectors
论文:https://arxiv.org/abs/2003.06297
代码:https://github.com/chaoqichen/HTCN
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
论文:https://arxiv.org/abs/2003.09119
代码:https://github.com/KiveeDong/CentripetalNet
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
论文:https://arxiv.org/abs/2003.11818
代码:https://github.com/ggjy/HitDet.pytorch
EfficientDet: Scalable and Efficient Object Detection
论文:https://arxiv.org/abs/1911.09070
代码:https://github.com/google/automl/tree/master/efficientdet
3D目标检测
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
论文:https://arxiv.org/abs/2005.08139
代码:https://github.com/cxy1997/3D_adapt_auto_driving
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
论文:https://arxiv.org/abs/2004.05679
代码:https://github.com/NUAAXQ/MLCVNet
3DSSD: Point-based 3D Single Stage Object Detector
论文:https://arxiv.org/abs/2002.10187
代码:https://github.com/tomztyang/3DSSD
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
论文:https://arxiv.org/abs/2004.03572
代码:https://github.com/zju3dv/disprcn
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
论文:https://arxiv.org/abs/2004.03080
代码:https://github.com/mileyan/pseudo-LiDAR_e2e
DSGN: Deep Stereo Geometry Network for 3D Object Detection
论文:https://arxiv.org/abs/2001.03398
代码:https://github.com/chenyilun95/DSGN
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
论文:https://arxiv.org/abs/2004.01389
代码:https://github.com/yinjunbo/3DVID
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
论文:https://arxiv.org/abs/1912.13192
代码:https://github.com/sshaoshuai/PV-RCNN
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
论文:https://arxiv.org/abs/2003.01251
代码:https://github.com/WeijingShi/Point-GNN
视频目标检测
Memory Enhanced Global-Local Aggregation for Video Object Detection
论文:https://arxiv.org/abs/2003.12063
代码:https://github.com/Scalsol/mega.pytorch
目标跟踪
D3S – A Discriminative Single Shot Segmentation Tracker
论文:https://arxiv.org/abs/1911.08862
代码:https://github.com/alanlukezic/d3s
ROAM: Recurrently Optimizing Tracking Model
论文:https://arxiv.org/abs/1907.12006
代码:https://github.com/skyoung/ROAM
Siam R-CNN: Visual Tracking by Re-Detection
主页:https://www.vision.rwth-aachen.de/page/siamrcnn
论文:https://arxiv.org/abs/1911.12836
论文2:https://www.vision.rwth-aachen.de/media/papers/192/siamrcnn.pdf
代码:https://github.com/VisualComputingInstitute/SiamR-CNN
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
论文:https://arxiv.org/abs/2003.09595
代码:https://github.com/MasterBin-IIAU/CSA
High-Performance Long-Term Tracking with Meta-Updater
论文:https://arxiv.org/abs/2004.00305
代码:https://github.com/Daikenan/LTMU
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
论文:https://arxiv.org/abs/2003.12949
代码:https://github.com/vision4robotics/AutoTrack
Probabilistic Regression for Visual Tracking
论文:https://arxiv.org/abs/2003.12565
代码:https://github.com/visionml/pytracking
MAST: A Memory-Augmented Self-supervised Tracker
论文:https://arxiv.org/abs/2002.07793
代码:https://github.com/zlai0/MAST
Siamese Box Adaptive Network for Visual Tracking
论文:https://arxiv.org/abs/2003.06761
代码:https://github.com/hqucv/siamban
语义分割
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
论文:暂无
代码:https://github.com/JianqiangWan/Super-BPD
Single-Stage Semantic Segmentation from Image Labels
论文:https://arxiv.org/abs/2005.08104
代码:https://github.com/visinf/1-stage-wseg
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
论文:https://arxiv.org/abs/2003.00867
代码:https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
论文:http://vladlen.info/papers/MSeg.pdf
代码:https://github.com/mseg-dataset/mseg-api
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
论文:https://arxiv.org/abs/2005.02551
代码:https://github.com/hkchengrex/CascadePSP
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
论文:https://arxiv.org/abs/2004.07703
代码:https://github.com/feipan664/IntraDA
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
论文:https://arxiv.org/abs/2004.04581
代码:https://github.com/YudeWang/SEAM
Temporally Distributed Networks for Fast Video Segmentation
论文:https://arxiv.org/abs/2004.01800
代码:https://github.com/feinanshan/TDNet
Context Prior for Scene Segmentation
论文:https://arxiv.org/abs/2004.01547
代码:https://git.io/ContextPrior
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
论文:https://arxiv.org/abs/2003.13328
代码:https://github.com/Andrew-Qibin/SPNet
Cars Can’t Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
论文:https://arxiv.org/abs/2003.05128
代码:https://github.com/shachoi/HANet
Learning Dynamic Routing for Semantic Segmentation
论文:https://arxiv.org/abs/2003.10401
代码:https://github.com/yanwei-li/DynamicRouting
实例分割
PolarMask: Single Shot Instance Segmentation with Polar Representation
论文:https://arxiv.org/abs/1909.13226
代码:https://github.com/xieenze/PolarMask
解读:https://zhuanlan.zhihu.com/p/84890413
CenterMask : Real-Time Anchor-Free Instance Segmentation
论文:https://arxiv.org/abs/1911.06667
代码:https://github.com/youngwanLEE/CenterMask
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
论文:https://arxiv.org/abs/2001.00309
代码:https://github.com/aim-uofa/AdelaiDet
Deep Snake for Real-Time Instance Segmentation
论文:https://arxiv.org/abs/2001.01629
代码:https://github.com/zju3dv/snake
Mask Encoding for Single Shot Instance Segmentation
论文:https://arxiv.org/abs/2003.11712
代码:https://github.com/aim-uofa/AdelaiDet
全景分割
Pixel Consensus Voting for Panoptic Segmentation
论文:https://arxiv.org/abs/2004.01849
代码:还未公布
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
论文:https://arxiv.org/abs/2003.14031
代码:https://github.com/Mooonside/BANet
视频目标分割
A Transductive Approach for Video Object Segmentation
论文:https://arxiv.org/abs/2004.07193代码:https://github.com/microsoft/transductive-vos.pytorch
State-Aware Tracker for Real-Time Video Object Segmentation
论文:https://arxiv.org/abs/2003.00482
代码:https://github.com/MegviiDetection/video_analyst
Learning Fast and Robust Target Models for Video Object Segmentation
论文:https://arxiv.org/abs/2003.00908
代码:https://github.com/andr345/frtm-vos
Learning Video Object Segmentation from Unlabeled Videos
论文:https://arxiv.org/abs/2003.05020
代码:https://github.com/carrierlxk/MuG
超像素分割
Superpixel Segmentation with Fully Convolutional Networks
论文:https://arxiv.org/abs/2003.12929
代码:https://github.com/fuy34/superpixel_fcn
NAS
AOWS: Adaptive and optimal network width search with latency constraints
论文:https://arxiv.org/abs/2005.10481
代码:https://github.com/bermanmaxim/AOWS
Densely Connected Search Space for More Flexible Neural Architecture Search
论文:https://arxiv.org/abs/1906.09607
代码:https://github.com/JaminFong/DenseNAS
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
论文:https://arxiv.org/abs/2003.14058
代码:https://github.com/bhpfelix/MTLNAS
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
论文下载链接:https://arxiv.org/abs/2004.05565
代码:https://github.com/facebookresearch/mobile-vision
Neural Architecture Search for Lightweight Non-Local Networks
论文:https://arxiv.org/abs/2004.01961
代码:https://github.com/LiYingwei/AutoNL
Rethinking Performance Estimation in Neural Architecture Search
论文:https://arxiv.org/abs/2005.09917
代码:https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS
解读1:https://www.zhihu.com/question/372070853/answer/1035234510
解读2:https://zhuanlan.zhihu.com/p/111167409
CARS: Continuous Evolution for Efficient Neural Architecture Search
论文:https://arxiv.org/abs/1909.04977
代码(即将开源):https://github.com/huawei-noah/CARS
GAN
Semantically Mutil-modal Image Synthesis
主页:http://seanseattle.github.io/SMIS
论文:https://arxiv.org/abs/2003.12697
代码:https://github.com/Seanseattle/SMIS
Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
论文:https://yiranran.github.io/files/CVPR2020_Unpaired%20Portrait%20Drawing%20Generation%20via%20Asymmetric%20Cycle%20Mapping.pdf
代码:https://github.com/yiranran/Unpaired-Portrait-Drawing
Learning to Cartoonize Using White-box Cartoon Representations
论文:https://github.com/SystemErrorWang/White-box-Cartoonization/blob/master/paper/06791.pdf主页:https://systemerrorwang.github.io/White-box-Cartoonization/代码:https://github.com/SystemErrorWang/White-box-Cartoonization解读:https://zhuanlan.zhihu.com/p/117422157Demo视频:https://www.bilibili.com/video/av56708333
GAN Compression: Efficient Architectures for Interactive Conditional GANs
论文:https://arxiv.org/abs/2003.08936代码:https://github.com/mit-han-lab/gan-compression
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
论文:https://arxiv.org/abs/2003.01826
代码:https://github.com/cc-hpc-itwm/UpConv
Re-ID
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
论文:https://arxiv.org/abs/2005.07862数据集:暂无
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
论文:https://arxiv.org/abs/2004.04199代码:https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking
Pose-guided Visible Part Matching for Occluded Person ReID
论文:https://arxiv.org/abs/2004.00230
代码:https://github.com/hh23333/PVPM
Weakly supervised discriminative feature learning with state information for person identification
论文:https://arxiv.org/abs/2002.11939
代码:https://github.com/KovenYu/state-information
3D点云卷积
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
论文下载链接:https://arxiv.org/abs/2003.12971代码:https://github.com/raoyongming/PointGLRGrid-GCN for Fast and Scalable Point Cloud Learning论文:https://arxiv.org/abs/1912.02984代码:https://github.com/Xharlie/Grid-GCN
FPConv: Learning Local Flattening for Point Convolution
论文:https://arxiv.org/abs/2002.10701
代码:https://github.com/lyqun/FPConv
3D点云分类
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
论文:https://arxiv.org/abs/2002.10876
代码(即将开源): https://github.com/liruihui/PointAugment/
3D点云语义分割
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
论文:https://arxiv.org/abs/1911.11236代码:https://github.com/QingyongHu/RandLA-Net解读:https://zhuanlan.zhihu.com/p/105433460
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
论文:https://arxiv.org/abs/2004.0409代码:https://github.com/alex-xun-xu/WeakSupPointCloudSeg
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
论文:https://arxiv.org/abs/2003.14032
代码:https://github.com/edwardzhou130/PolarSeg
Learning to Segment 3D Point Clouds in 2D Image Space
论文:https://arxiv.org/abs/2003.05593代码:https://github.com/WPI-VISLab/Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space
3D点云实例分割
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
论文:https://arxiv.org/abs/2004.01658
代码:https://github.com/Jia-Research-Lab/PointGroup
3D点云配准
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
论文:https://arxiv.org/abs/2003.03164
代码:https://github.com/XuyangBai/D3Feat
RPM-Net: Robust Point Matching using Learned Features
论文:https://arxiv.org/abs/2003.13479
代码:https://github.com/yewzijian/RPMNet
3D点云补全
Cascaded Refinement Network for Point Cloud Completion
论文:https://arxiv.org/abs/2004.03327
代码:https://github.com/xiaogangw/cascaded-point-completion
人脸识别
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
论文:https://arxiv.org/abs/2004.00288代码:https://github.com/HuangYG123/CurricularFace
Learning Meta Face Recognition in Unseen Domains
论文:https://arxiv.org/abs/2003.07733
代码:https://github.com/cleardusk/MFR
解读:https://mp.weixin.qq.com/s/YZoEnjpnlvb90qSI3xdJqQ
人脸活体检测
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
论文:https://arxiv.org/abs/2003.04092代码:https://github.com/ZitongYu/CDCN
人脸表情识别
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
论文:https://arxiv.org/abs/2002.10392代码(即将开源):https://github.com/kaiwang960112/Self-Cure-Network
人脸转正
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
论文:https://arxiv.org/abs/2003.08124
代码:https://github.com/Hangz-nju-cuhk/Rotate-and-Render
人脸3D重建
AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
论文:https://arxiv.org/abs/2003.13845
数据集:https://github.com/lattas/AvatarMe
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
论文:https://arxiv.org/abs/2003.13989
代码:https://github.com/zhuhao-nju/facescape
2D人体姿态估计
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
论文:https://arxiv.org/abs/1908.10357
代码:https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
论文:https://arxiv.org/abs/1911.07524
代码:https://github.com/HuangJunJie2017/UDP-Pose
解读:https://zhuanlan.zhihu.com/p/92525039
Distribution-Aware Coordinate Representation for Human Pose Estimation
主页:https://ilovepose.github.io/coco/论文:https://arxiv.org/abs/1910.06278代码:https://github.com/ilovepose/DarkPose
3D人体姿态估计
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
主页:https://www.zhe-zhang.com/cvpr2020论文:https://arxiv.org/abs/2003.11163代码:https://github.com/CHUNYUWANG/imu-human-pose-pytorch
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
论文下载链接:https://arxiv.org/abs/2004.01166代码:https://github.com/Healthcare-Robotics/bodies-at-rest数据集:https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
主页:http://val.cds.iisc.ac.in/pgp-human/
论文:https://arxiv.org/abs/2004.04400
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
论文:https://arxiv.org/abs/2004.00329
代码:https://github.com/fabbrimatteo/LoCO
VIBE: Video Inference for Human Body Pose and Shape Estimation
论文:https://arxiv.org/abs/1912.05656
代码:https://github.com/mkocabas/VIBE
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
论文:https://arxiv.org/abs/2002.11251
代码:https://github.com/vnmr/JointVideoPose3D
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
论文:https://arxiv.org/abs/2003.03972
数据集:暂无
人体解析
Correlating Edge, Pose with Parsing
论文:https://arxiv.org/abs/2005.01431代码:https://github.com/ziwei-zh/CorrPM
场景文本检测
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
论文:https://arxiv.org/abs/2003.10608
代码和数据集:https://github.com/Jyouhou/UnrealText/
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
论文:https://arxiv.org/abs/2002.10200
代码(即将开源):https://github.com/Yuliang-Liu/bezier_curve_text_spotting
代码(即将开源):https://github.com/aim-uofa/adet
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
论文:https://arxiv.org/abs/2003.07493代码:https://github.com/GXYM/DRRG
场景文本识别
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
论文:https://arxiv.org/abs/2005.10977
代码:https://github.com/Pay20Y/SEED
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
论文:https://arxiv.org/abs/2003.10608
代码和数据集:https://github.com/Jyouhou/UnrealText/
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
论文:https://arxiv.org/abs/2002.10200
代码(即将开源):https://github.com/aim-uofa/adet
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
论文:https://arxiv.org/abs/2003.06606代码:https://github.com/Canjie-Luo/Text-Image-Augmentation
图像超分辨率
Structure-Preserving Super Resolution with Gradient Guidance
论文:https://arxiv.org/abs/2003.13081代码:https://github.com/Maclory/SPSR
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
论文:https://arxiv.org/abs/2004.00448代码:https://github.com/clovaai/cutblur
视频超分辨率
Space-Time-Aware Multi-Resolution Video Enhancement
主页:https://alterzero.github.io/projects/STAR.html
论文:http://arxiv.org/abs/2003.13170
代码:https://github.com/alterzero/STARnet
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
论文:https://arxiv.org/abs/2002.11616
代码:https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
模型压缩/剪枝
DMCP: Differentiable Markov Channel Pruning for Neural Networks
论文:https://arxiv.org/abs/2005.03354
代码:https://github.com/zx55/dmcp
Forward and Backward Information Retention for Accurate Binary Neural Networks
论文:https://arxiv.org/abs/1909.10788代码:https://github.com/htqin/IR-Net
Towards Efficient Model Compression via Learned Global Ranking
论文:https://arxiv.org/abs/1904.12368
代码:https://github.com/cmu-enyac/LeGR
HRank: Filter Pruning using High-Rank Feature Map
论文:http://arxiv.org/abs/2002.10179
代码:https://github.com/lmbxmu/HRank
GAN Compression: Efficient Architectures for Interactive Conditional GANs
论文:https://arxiv.org/abs/2003.08936代码:https://github.com/mit-han-lab/gan-compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
论文:https://arxiv.org/abs/2003.08935代码:https://github.com/ofsoundof/group_sparsity
视频理解/行为识别
Intra- and Inter-Action Understanding via Temporal Action Parsing
论文:https://arxiv.org/abs/2005.10229
主页和数据集:https://sdolivia.github.io/TAPOS/
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
论文:https://arxiv.org/abs/2005.05501
代码:https://github.com/3huo/3DV-Action
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
主页:https://sdolivia.github.io/FineGym/
论文:https://arxiv.org/abs/2004.06704
TEA: Temporal Excitation and Aggregation for Action Recognition
论文:https://arxiv.org/abs/2004.01398代码:https://github.com/Phoenix1327/tea-action-recognition
X3D: Expanding Architectures for Efficient Video Recognition
论文:https://arxiv.org/abs/2004.04730代码:https://github.com/facebookresearch/SlowFast
Temporal Pyramid Network for Action Recognition
主页:https://decisionforce.github.io/TPN论文:https://arxiv.org/abs/2004.03548代码:https://github.com/decisionforce/TPN
基于骨架的动作识别
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
论文:https://arxiv.org/abs/2003.14111
代码:https://github.com/kenziyuliu/ms-g3d
深度估计
Focus on defocus: bridging the synthetic to real domain gap for depth estimation
论文:https://arxiv.org/abs/2005.09623
代码:https://github.com/dvl-tum/defocus-net
Bi3D: Stereo Depth Estimation via Binary Classifications
论文:https://arxiv.org/abs/2005.07274代码:https://github.com/NVlabs/Bi3D
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
论文:https://arxiv.org/abs/2004.09548
代码:https://github.com/haofeixu/aanet
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
论文:https://github.com/B1ueber2y/TrianFlow代码:https://github.com/B1ueber2y/TrianFlow
单目深度估计
On the uncertainty of self-supervised monocular depth estimation
论文:https://arxiv.org/abs/2005.06209
代码:https://github.com/mattpoggi/mono-uncertainty
3D Packing for Self-Supervised Monocular Depth Estimation
论文:https://arxiv.org/abs/1905.02693
代码:https://github.com/TRI-ML/packnet-sfm
Demo视频:https://www.bilibili.com/video/av70562892/
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
论文:https://arxiv.org/abs/2002.12114
代码:https://github.com/yzhao520/ARC
6D目标姿态估计
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
论文:https://arxiv.org/abs/2004.04336
代码:https://github.com/wkentaro/morefusion
EPOS: Estimating 6D Pose of Objects with Symmetries
主页:http://cmp.felk.cvut.cz/epos论文:https://arxiv.org/abs/2004.00605
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
论文:https://arxiv.org/abs/2003.11089代码:https://github.com/DC1991/G2L_Net
手势估计
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
论文:https://arxiv.org/abs/2004.00060主页:http://vision.sice.indiana.edu/projects/hopenet
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data
论文:https://arxiv.org/abs/2003.09572代码:https://github.com/CalciferZh/minimal-hand
显著性检测
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
论文:https://arxiv.org/abs/2004.08515代码:https://github.com/kerenfu/JLDCF/
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
主页:http://dpfan.net/d3netbenchmark/论文:https://arxiv.org/abs/2004.05763代码:https://github.com/JingZhang617/UCNet
去噪
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
论文:https://arxiv.org/abs/2003.12751代码:https://github.com/Vandermode/NoiseModel
CycleISP: Real Image Restoration via Improved Data Synthesis
论文:https://arxiv.org/abs/2003.07761代码:https://github.com/swz30/CycleISP
去雨
Multi-Scale Progressive Fusion Network for Single Image Deraining
论文:https://arxiv.org/abs/2003.10985代码:https://github.com/kuihua/MSPFN
视频去模糊
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
主页:https://csbhr.github.io/projects/cdvd-tsp/index.html
论文:https://arxiv.org/abs/2004.02501
代码:https://github.com/csbhr/CDVD-TSP
去雾
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
论文:https://arxiv.org/abs/2004.13388代码:https://github.com/BookerDeWitt/MSBDN-DFF
特征点检测与描述
ASLFeat: Learning Local Features of Accurate Shape and Localization
论文:https://arxiv.org/abs/2003.10071代码:https://github.com/lzx551402/aslfeat
视觉问答(VQA)
VC R-CNN:Visual Commonsense R-CNN
论文:https://arxiv.org/abs/2002.12204
代码:https://github.com/Wangt-CN/VC-R-CNN
视频问答(VideoQA)
Hierarchical Conditional Relation Networks for Video Question Answering
论文:https://arxiv.org/abs/2002.10698
代码:https://github.com/thaolmk54/hcrn-videoqa
视觉语言导航
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
论文:https://arxiv.org/abs/2002.10638
代码(即将开源):https://github.com/weituo12321/PREVALENT
视频压缩
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
论文:https://arxiv.org/abs/2003.01966
代码:https://github.com/RenYang-home/HLVC
视频插值
Space-Time-Aware Multi-Resolution Video Enhancement
主页:https://alterzero.github.io/projects/STAR.html
论文:http://arxiv.org/abs/2003.13170
代码:https://github.com/alterzero/STARnet
Scene-Adaptive Video Frame Interpolation via Meta-Learning
论文:https://arxiv.org/abs/2004.00779
代码:https://github.com/myungsub/meta-interpolation
Softmax Splatting for Video Frame Interpolation
主页:http://sniklaus.com/papers/softsplat
论文:https://arxiv.org/abs/2003.05534
代码:https://github.com/sniklaus/softmax-splatting
风格迁移
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
论文:https://arxiv.org/abs/1909.08223
代码:https://github.com/EndyWon/Deep-Feature-Perturbation
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
论文:https://arxiv.org/abs/2003.08436代码:https://github.com/mingsun-tse/collaborative-distillation
车道线检测
Inter-Region Affinity Distillation for Road Marking Segmentation
论文:https://arxiv.org/abs/2004.05304
代码:https://github.com/cardwing/Codes-for-IntRA-KD
"人-物"交互(HOT)检测
Detailed 2D-3D Joint Representation for Human-Object Interaction
论文:https://arxiv.org/abs/2004.08154代码:https://github.com/DirtyHarryLYL/DJ-RN
Cascaded Human-Object Interaction Recognition
论文:https://arxiv.org/abs/2003.04262代码:https://github.com/tfzhou/C-HOI
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
论文:https://arxiv.org/abs/2003.05541
代码:https://github.com/ASMIftekhar/VSGNet
行人轨迹预测
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
论文:https://arxiv.org/abs/2002.11927
代码:https://github.com/abduallahmohamed/Social-STGCNN
运动预测
Collaborative Motion Prediction via Neural Motion Message Passing
论文:https://arxiv.org/abs/2003.06594
代码:https://github.com/PhyllisH/NMMP
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps
论文:https://arxiv.org/abs/2003.06754代码:https://github.com/pxiangwu/MotionNet
虚拟试衣
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
论文:https://arxiv.org/abs/2003.05863
代码:https://github.com/switchablenorms/DeepFashion_Try_On
HDR
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
主页:https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR论文下载链接:https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR_/00942.pdf代码:https://github.com/alex04072000/SingleHDR
对抗样本
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
论文:https://arxiv.org/abs/1911.02466
代码:https://github.com/ZhengyuZhao/PerC-Adversarial
语义场景补全
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
论文:https://arxiv.org/abs/2003.14052
代码:https://github.com/charlesCXK/3D-SketchAware-SSC
数据集
Intra- and Inter-Action Understanding via Temporal Action Parsing
论文:https://arxiv.org/abs/2005.10229
主页和数据集:https://sdolivia.github.io/TAPOS/
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
论文下载链接:https://arxiv.org/abs/2005.09973代码和数据集:https://github.com/Anymake/DRN_CVPR2020
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
论文:https://arxiv.org/abs/2005.07862数据集:暂无
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
论文:https://arxiv.org/abs/2002.12687数据集:https://github.com/qq456cvb/KeypointNet
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
论文:http://vladlen.info/papers/MSeg.pdf
代码:https://github.com/mseg-dataset/mseg-api
AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
论文:https://arxiv.org/abs/2003.13845
数据集:https://github.com/lattas/AvatarMe
Learning to Autofocus
论文:https://arxiv.org/abs/2004.12260
数据集:暂无
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
论文:https://arxiv.org/abs/2003.13989
代码:https://github.com/zhuhao-nju/facescape
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
论文下载链接:https://arxiv.org/abs/2004.01166代码:https://github.com/Healthcare-Robotics/bodies-at-rest数据集:https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
主页:https://sdolivia.github.io/FineGym/
论文:https://arxiv.org/abs/2004.06704
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
主页:https://anyirao.com/projects/SceneSeg.html论文下载链接:https://arxiv.org/abs/2004.02678代码:https://github.com/AnyiRao/SceneSeg
Deep Homography Estimation for Dynamic Scenes
论文:https://arxiv.org/abs/2004.02132数据集:https://github.com/lcmhoang/hmg-dynamics
Assessing Image Quality Issues for Real-World Problems
主页:https://vizwiz.org/tasks-and-datasets/image-quality-issues/
论文:https://arxiv.org/abs/2003.12511
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
论文:https://arxiv.org/abs/2003.10608
代码和数据集:https://github.com/Jyouhou/UnrealText/
PANDA: A Gigapixel-level Human-centric Video Dataset
论文:https://arxiv.org/abs/2003.04852数据集:http://www.panda-dataset.com/
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
论文:https://arxiv.org/abs/2003.02920
数据集:https://github.com/intra3d2019/IntrA
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
论文:https://arxiv.org/abs/2003.03972
数据集:暂无
其他
Equalization Loss for Long-Tailed Object Recognition
论文:https://arxiv.org/abs/2003.05176
代码:https://github.com/tztztztztz/eql.detectron2
Instance-aware Image Colorization
主页:https://ericsujw.github.io/InstColorization/
论文:https://arxiv.org/abs/2005.10825
代码:https://github.com/ericsujw/InstColorization
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
论文:https://arxiv.org/abs/2005.09704代码:https://github.com/Atlas200dk/sample-imageinpainting-HiFill
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
论文:https://arxiv.org/abs/2005.03860
代码:https://github.com/shiyujiao/cross_view_localization_DSM
Epipolar Transformers
论文:https://arxiv.org/abs/2005.04551代码:https://github.com/yihui-he/epipolar-transformers
Bringing Old Photos Back to Life
主页:http://raywzy.com/Old_Photo/
论文:https://arxiv.org/abs/2004.09484
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
论文:https://arxiv.org/abs/2003.10955代码:https://github.com/microsoft/MaskFlownet
Self-Supervised Viewpoint Learning from Image Collections
论文:https://arxiv.org/abs/2004.01793
论文2:https://research.nvidia.com/sites/default/files/pubs/2020-03_Self-Supervised-Viewpoint-Learning/SSV-CVPR2020.pdf
代码:https://github.com/NVlabs/SSV
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
论文:https://arxiv.org/abs/2003.12237代码:https://github.com/cuishuhao/BNM
Towards Learning Structure via Consensus for Face Segmentation and Parsing
论文:https://arxiv.org/abs/1911.00957
代码:https://github.com/isi-vista/structure_via_consensus
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
论文:https://arxiv.org/abs/2003.13654代码:https://github.com/liuyang12/PnP-SCI
Lightweight Photometric Stereo for Facial Details Recovery
论文:https://arxiv.org/abs/2003.12307
代码:https://github.com/Juyong/FacePSNet
Footprints and Free Space from a Single Color Image
论文:https://arxiv.org/abs/2004.06376代码:https://github.com/nianticlabs/footprints
Self-Supervised Monocular Scene Flow Estimation
论文:https://arxiv.org/abs/2004.04143
代码:https://github.com/visinf/self-mono-sf
Quasi-Newton Solver for Robust Non-Rigid Registration
论文:https://arxiv.org/abs/2004.04322
代码:https://github.com/Juyong/Fast_RNRR
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
主页:https://anyirao.com/projects/SceneSeg.html论文下载链接:https://arxiv.org/abs/2004.02678代码:https://github.com/AnyiRao/SceneSeg
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration
论文:https://arxiv.org/abs/2004.02097代码:https://github.com/jw4hv/deepflash
Self-Supervised Scene De-occlusion
主页:https://xiaohangzhan.github.io/projects/deocclusion/
论文:https://arxiv.org/abs/2004.02788
代码:https://github.com/XiaohangZhan/deocclusion
Polarized Reflection Removal with Perfect Alignment in the Wild
主页:https://leichenyang.weebly.com/project-polarized.html
代码:https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment
Background Matting: The World is Your Green Screen
论文:https://arxiv.org/abs/2004.00626
代码:http://github.com/senguptaumd/Background-Matting
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
论文:https://arxiv.org/abs/2003.11241代码:https://github.com/ZhangLi-CS/GCP_Optimization
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
论文:暂无
代码:https://github.com/JDAI-CV/LIO
Video Object Grounding using Semantic Roles in Language Description
论文:https://arxiv.org/abs/2003.10606
代码:https://github.com/TheShadow29/vognet-pytorch
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
论文:https://arxiv.org/abs/2003.10739
代码:https://github.com/d-li14/DHM
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
论文:http://www.cs.umd.edu/~yuejiang/papers/SDFDiff.pdf
代码:https://github.com/YueJiang-nj/CVPR2020-SDFDiff
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
论文:https://arxiv.org/abs/2003.07064代码:https://github.com/oskyhn/CNNs-Without-Borders
GhostNet: More Features from Cheap Operations
论文:https://arxiv.org/abs/1911.11907代码:https://github.com/iamhankai/ghostnet
AdderNet: Do We Really Need Multiplications in Deep Learning?
论文:https://arxiv.org/abs/1912.13200
代码:https://github.com/huawei-noah/AdderNet
Deep Image Harmonization via Domain Verification
论文:https://arxiv.org/abs/1911.13239
代码:https://github.com/bcmi/Image_Harmonization_Datasets
Blurry Video Frame Interpolation
论文:https://arxiv.org/abs/2002.12259
代码:https://github.com/laomao0/BIN
Extremely Dense Point Correspondences using a Learned Feature Descriptor
论文:https://arxiv.org/abs/2003.00619
代码:https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch
Filter Grafting for Deep Neural Networks
论文:https://arxiv.org/abs/2001.05868
代码:https://github.com/fxmeng/filter-grafting
论文解读:https://www.zhihu.com/question/372070853/answer/1041569335
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
论文:https://arxiv.org/abs/2003.02824
代码:https://github.com/cmhungsteve/SSTDA
Detecting Attended Visual Targets in Video
论文:https://arxiv.org/abs/2003.02501代码:https://github.com/ejcgt/attention-target-detection
Deep Image Spatial Transformation for Person Image Generation
论文:https://arxiv.org/abs/2003.00696
代码:https://github.com/RenYurui/Global-Flow-Local-Attention
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
论文:https://arxiv.org/abs/2003.01455
代码:https://github.com/bbrattoli/ZeroShotVideoClassificationhttps://github.com/charlesCXK/3D-SketchAware-SSChttps://github.com/Anonymous20192020/Anonymous_CVPR5767https://github.com/avirambh/ScopeFlowhttps://github.com/csbhr/CDVD-TSPhttps://github.com/ymcidence/TBHhttps://github.com/yaoyao-liu/mnemonicshttps://github.com/meder411/Tangent-Imageshttps://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorchhttps://github.com/sjmoran/deep_local_parametric_filtershttps://github.com/charlesCXK/3D-SketchAware-SSChttps://github.com/bermanmaxim/AOWShttps://github.com/dc3ea9f/look-into-object
不确定中没中
FADNet: A Fast and Accurate Network for Disparity Estimation
论文:还没出来
代码:https://github.com/HKBU-HPML/FADNet
https://github.com/rFID-submit/RandomFID:不确定中没中
https://github.com/JackSyu/AE-MSR:不确定中没中
https://github.com/fastconvnets/cvpr2020:不确定中没中
https://github.com/aimagelab/meshed-memory-transformer:不确定中没中
https://github.com/TWSFar/CRGNet:不确定中没中
https://github.com/CVPR-2020/CDARTS:不确定中没中
https://github.com/anucvml/ddn-cvprw2020:不确定中没中
https://github.com/dl-model-recommend/model-trust:不确定中没中
https://github.com/apratimbhattacharyya18/CVPR-2020-Corr-Prior:不确定中没中
https://github.com/onetcvpr/O-Net:不确定中没中
https://github.com/502463708/Microcalcification_Detection:不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-deep-smoke-machine:不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-smoke-recognition-dataset:不确定中没中
https://github.com/cvpr-nonrigid/dataset:不确定中没中
https://github.com/theFool32/PPBA:不确定中没中
https://github.com/Realtime-Action-Recognition/Realtime-Action-Recognition
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2022/11/19 21:17:13 - 准备配置windows 请勿关闭计算机 蓝屏,Win7开机总是出现提示“配置Windows请勿关机”...
Win7系统开机启动时总是出现“配置Windows请勿关机”的提示,没过几秒后电脑自动重启,每次开机都这样无法进入系统,此时碰到这种现象的用户就可以使用以下5种方法解决问题。方法一:开机按下F8,在出现的Windows高级启动选…...
2022/11/19 21:17:12 - 准备windows请勿关闭计算机要多久,windows10系统提示正在准备windows请勿关闭计算机怎么办...
有不少windows10系统用户反映说碰到这样一个情况,就是电脑提示正在准备windows请勿关闭计算机,碰到这样的问题该怎么解决呢,现在小编就给大家分享一下windows10系统提示正在准备windows请勿关闭计算机的具体第一种方法:1、2、依次…...
2022/11/19 21:17:11 - 配置 已完成 请勿关闭计算机,win7系统关机提示“配置Windows Update已完成30%请勿关闭计算机”的解决方法...
今天和大家分享一下win7系统重装了Win7旗舰版系统后,每次关机的时候桌面上都会显示一个“配置Windows Update的界面,提示请勿关闭计算机”,每次停留好几分钟才能正常关机,导致什么情况引起的呢?出现配置Windows Update…...
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只能是等着,别无他法。说是卡着如果你看硬盘灯应该在读写。如果从 Win 10 无法正常回滚,只能是考虑备份数据后重装系统了。解决来方案一:管理员运行cmd:net stop WuAuServcd %windir%ren SoftwareDistribution SDoldnet start WuA…...
2022/11/19 21:17:09 - 计算机配置更新不起,电脑提示“配置Windows Update请勿关闭计算机”怎么办?
原标题:电脑提示“配置Windows Update请勿关闭计算机”怎么办?win7系统中在开机与关闭的时候总是显示“配置windows update请勿关闭计算机”相信有不少朋友都曾遇到过一次两次还能忍但经常遇到就叫人感到心烦了遇到这种问题怎么办呢?一般的方…...
2022/11/19 21:17:08 - 计算机正在配置无法关机,关机提示 windows7 正在配置windows 请勿关闭计算机 ,然后等了一晚上也没有关掉。现在电脑无法正常关机...
关机提示 windows7 正在配置windows 请勿关闭计算机 ,然后等了一晚上也没有关掉。现在电脑无法正常关机以下文字资料是由(历史新知网www.lishixinzhi.com)小编为大家搜集整理后发布的内容,让我们赶快一起来看一下吧!关机提示 windows7 正在配…...
2022/11/19 21:17:05 - 钉钉提示请勿通过开发者调试模式_钉钉请勿通过开发者调试模式是真的吗好不好用...
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2022/11/19 21:17:05 - 配置失败还原请勿关闭计算机怎么办,win7系统出现“配置windows update失败 还原更改 请勿关闭计算机”,长时间没反应,无法进入系统的解决方案...
前几天班里有位学生电脑(windows 7系统)出问题了,具体表现是开机时一直停留在“配置windows update失败 还原更改 请勿关闭计算机”这个界面,长时间没反应,无法进入系统。这个问题原来帮其他同学也解决过,网上搜了不少资料&#x…...
2022/11/19 21:17:04 - 一个电脑无法关闭计算机你应该怎么办,电脑显示“清理请勿关闭计算机”怎么办?...
本文为你提供了3个有效解决电脑显示“清理请勿关闭计算机”问题的方法,并在最后教给你1种保护系统安全的好方法,一起来看看!电脑出现“清理请勿关闭计算机”在Windows 7(SP1)和Windows Server 2008 R2 SP1中,添加了1个新功能在“磁…...
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许多用户在长期不使用电脑的时候,开启电脑发现电脑显示:配置windows更新失败,正在还原更改,请勿关闭计算机。。.这要怎么办呢?下面小编就带着大家一起看看吧!如果能够正常进入系统,建议您暂时移…...
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配置windows update失败 还原更改 请勿关闭计算机,电脑开机后一直显示以以下文字资料是由(历史新知网www.lishixinzhi.com)小编为大家搜集整理后发布的内容,让我们赶快一起来看一下吧!配置windows update失败 还原更改 请勿关闭计算机&#x…...
2022/11/19 21:17:01 - 电脑配置中请勿关闭计算机怎么办,准备配置windows请勿关闭计算机一直显示怎么办【图解】...
不知道大家有没有遇到过这样的一个问题,就是我们的win7系统在关机的时候,总是喜欢显示“准备配置windows,请勿关机”这样的一个页面,没有什么大碍,但是如果一直等着的话就要两个小时甚至更久都关不了机,非常…...
2022/11/19 21:17:00 - 正在准备配置请勿关闭计算机,正在准备配置windows请勿关闭计算机时间长了解决教程...
当电脑出现正在准备配置windows请勿关闭计算机时,一般是您正对windows进行升级,但是这个要是长时间没有反应,我们不能再傻等下去了。可能是电脑出了别的问题了,来看看教程的说法。正在准备配置windows请勿关闭计算机时间长了方法一…...
2022/11/19 21:16:59 - 配置失败还原请勿关闭计算机,配置Windows Update失败,还原更改请勿关闭计算机...
我们使用电脑的过程中有时会遇到这种情况,当我们打开电脑之后,发现一直停留在一个界面:“配置Windows Update失败,还原更改请勿关闭计算机”,等了许久还是无法进入系统。如果我们遇到此类问题应该如何解决呢࿰…...
2022/11/19 21:16:58 - 如何在iPhone上关闭“请勿打扰”
Apple’s “Do Not Disturb While Driving” is a potentially lifesaving iPhone feature, but it doesn’t always turn on automatically at the appropriate time. For example, you might be a passenger in a moving car, but your iPhone may think you’re the one dri…...
2022/11/19 21:16:57