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Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image
| 196 |
cvpr
| 18 | 6 |
2023-06-03 02:42:56.978000
|
https://github.com/scut-mingqinchen/self2self
| 131 |
Self2self with dropout: Learning self-supervised denoising from single image
|
https://scholar.google.com/scholar?cluster=15841357425275703413&hl=en&as_sdt=0,5
| 7 | 2,020 |
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
| 78 |
cvpr
| 87 | 4 |
2023-06-03 02:42:57.178000
|
https://github.com/Canjie-Luo/Text-Image-Augmentation
| 449 |
Learn to augment: Joint data augmentation and network optimization for text recognition
|
https://scholar.google.com/scholar?cluster=6720665817789430503&hl=en&as_sdt=0,10
| 19 | 2,020 |
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
| 19 |
cvpr
| 3 | 4 |
2023-06-03 02:42:57.378000
|
https://github.com/guoyu-niubility/SVIN
| 25 |
A spatiotemporal volumetric interpolation network for 4d dynamic medical image
|
https://scholar.google.com/scholar?cluster=17469973808184263862&hl=en&as_sdt=0,6
| 2 | 2,020 |
Neural Pose Transfer by Spatially Adaptive Instance Normalization
| 41 |
cvpr
| 19 | 8 |
2023-06-03 02:42:57.578000
|
https://github.com/jiashunwang/Neural-Pose-Transfer
| 137 |
Neural pose transfer by spatially adaptive instance normalization
|
https://scholar.google.com/scholar?cluster=5895408154818468020&hl=en&as_sdt=0,31
| 8 | 2,020 |
PointGMM: A Neural GMM Network for Point Clouds
| 52 |
cvpr
| 8 | 1 |
2023-06-03 02:42:57.779000
|
https://github.com/amirhertz/pointgmm
| 45 |
Pointgmm: A neural gmm network for point clouds
|
https://scholar.google.com/scholar?cluster=12395944022757933812&hl=en&as_sdt=0,33
| 3 | 2,020 |
Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching
| 88 |
cvpr
| 6 | 6 |
2023-06-03 02:42:57.982000
|
https://github.com/shiyujiao/cross_view_localization_DSM
| 46 |
Where am i looking at? joint location and orientation estimation by cross-view matching
|
https://scholar.google.com/scholar?cluster=2592788529518726950&hl=en&as_sdt=0,33
| 4 | 2,020 |
RoutedFusion: Learning Real-Time Depth Map Fusion
| 55 |
cvpr
| 18 | 4 |
2023-06-03 02:42:58.192000
|
https://github.com/weders/RoutedFusion
| 125 |
Routedfusion: Learning real-time depth map fusion
|
https://scholar.google.com/scholar?cluster=2964830636646330816&hl=en&as_sdt=0,5
| 12 | 2,020 |
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
| 131 |
cvpr
| 8 | 8 |
2023-06-03 02:42:58.392000
|
https://github.com/alex-xun-xu/WeakSupPointCloudSeg
| 98 |
Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels
|
https://scholar.google.com/scholar?cluster=15233469619337801358&hl=en&as_sdt=0,14
| 9 | 2,020 |
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
| 107 |
cvpr
| 9 | 1 |
2023-06-03 02:42:58.593000
|
https://github.com/ZhengyuZhao/PerC-Adversarial
| 50 |
Towards large yet imperceptible adversarial image perturbations with perceptual color distance
|
https://scholar.google.com/scholar?cluster=9997585199758312284&hl=en&as_sdt=0,33
| 3 | 2,020 |
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
| 188 |
cvpr
| 4 | 2 |
2023-06-03 02:42:58.793000
|
https://github.com/abdullahjamal/Longtail_DA
| 22 |
Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective
|
https://scholar.google.com/scholar?cluster=2255644322777336647&hl=en&as_sdt=0,33
| 3 | 2,020 |
Gated Channel Transformation for Visual Recognition
| 125 |
cvpr
| 26 | 0 |
2023-06-03 02:42:58.993000
|
https://github.com/z-x-yang/GCT
| 116 |
Gated channel transformation for visual recognition
|
https://scholar.google.com/scholar?cluster=14632106519933169181&hl=en&as_sdt=0,5
| 6 | 2,020 |
Softmax Splatting for Video Frame Interpolation
| 220 |
cvpr
| 57 | 2 |
2023-06-03 02:42:59.193000
|
https://github.com/sniklaus/softmax-splatting
| 368 |
Softmax splatting for video frame interpolation
|
https://scholar.google.com/scholar?cluster=5412503042993292983&hl=en&as_sdt=0,47
| 17 | 2,020 |
Can Deep Learning Recognize Subtle Human Activities?
| 9 |
cvpr
| 2 | 0 |
2023-06-03 02:42:59.392000
|
https://github.com/kreimanlab/DeepLearning-vs-HighLevelVision
| 11 |
Can deep learning recognize subtle human activities?
|
https://scholar.google.com/scholar?cluster=2871468803034414570&hl=en&as_sdt=0,33
| 3 | 2,020 |
BiDet: An Efficient Binarized Object Detector
| 48 |
cvpr
| 33 | 5 |
2023-06-03 02:42:59.593000
|
https://github.com/ZiweiWangTHU/BiDet
| 167 |
Bidet: An efficient binarized object detector
|
https://scholar.google.com/scholar?cluster=3965514242665564617&hl=en&as_sdt=0,5
| 9 | 2,020 |
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection
| 81 |
cvpr
| 10 | 31 |
2023-06-03 02:42:59.793000
|
https://github.com/eraserNut/MTMT
| 81 |
A multi-task mean teacher for semi-supervised shadow detection
|
https://scholar.google.com/scholar?cluster=13302143660272490203&hl=en&as_sdt=0,33
| 7 | 2,020 |
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
| 312 |
cvpr
| 18 | 2 |
2023-06-03 02:42:59.993000
|
https://github.com/hongxin001/JoCoR
| 116 |
Combating noisy labels by agreement: A joint training method with co-regularization
|
https://scholar.google.com/scholar?cluster=8672051314340970870&hl=en&as_sdt=0,11
| 3 | 2,020 |
Searching for Actions on the Hyperbole
| 31 |
cvpr
| 3 | 3 |
2023-06-03 02:43:00.193000
|
https://github.com/Tenglon/hyperbolic_action
| 12 |
Searching for actions on the hyperbole
|
https://scholar.google.com/scholar?cluster=17402068943209033206&hl=en&as_sdt=0,40
| 2 | 2,020 |
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
| 297 |
cvpr
| 99 | 0 |
2023-06-03 02:43:00.393000
|
https://github.com/guoyongcs/DRN
| 420 |
Closed-loop matters: Dual regression networks for single image super-resolution
|
https://scholar.google.com/scholar?cluster=18061404949489143219&hl=en&as_sdt=0,45
| 18 | 2,020 |
Superpixel Segmentation With Fully Convolutional Networks
| 138 |
cvpr
| 79 | 0 |
2023-06-03 02:43:00.594000
|
https://github.com/fuy34/superpixel_fcn
| 337 |
Superpixel segmentation with fully convolutional networks
|
https://scholar.google.com/scholar?cluster=17254136433445243811&hl=en&as_sdt=0,15
| 6 | 2,020 |
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
| 102 |
cvpr
| 23 | 3 |
2023-06-03 02:43:00.795000
|
https://github.com/angeladai/sgnn
| 170 |
Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans
|
https://scholar.google.com/scholar?cluster=4891876313591120438&hl=en&as_sdt=0,23
| 13 | 2,020 |
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection
| 154 |
cvpr
| 49 | 17 |
2023-06-03 02:43:00.995000
|
https://github.com/wangyuxin87/ContourNet
| 214 |
Contournet: Taking a further step toward accurate arbitrary-shaped scene text detection
|
https://scholar.google.com/scholar?cluster=10407924981028323116&hl=en&as_sdt=0,10
| 14 | 2,020 |
Wavelet Integrated CNNs for Noise-Robust Image Classification
| 98 |
cvpr
| 15 | 12 |
2023-06-03 02:43:01.195000
|
https://github.com/LiQiufu/WaveCNet
| 88 |
Wavelet integrated CNNs for noise-robust image classification
|
https://scholar.google.com/scholar?cluster=5545254318212756783&hl=en&as_sdt=0,11
| 3 | 2,020 |
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
| 79 |
cvpr
| 14 | 2 |
2023-06-03 02:43:01.396000
|
https://github.com/abdo-eldesokey/pncnn
| 82 |
Uncertainty-aware cnns for depth completion: Uncertainty from beginning to end
|
https://scholar.google.com/scholar?cluster=13541424700079169022&hl=en&as_sdt=0,5
| 2 | 2,020 |
Deep Snake for Real-Time Instance Segmentation
| 231 |
cvpr
| 226 | 0 |
2023-06-03 02:43:01.596000
|
https://github.com/zju3dv/snake
| 1,107 |
Deep snake for real-time instance segmentation
|
https://scholar.google.com/scholar?cluster=11877838671373541982&hl=en&as_sdt=0,22
| 51 | 2,020 |
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
| 195 |
cvpr
| 63 | 21 |
2023-06-03 02:43:01.797000
|
https://github.com/FishYuLi/BalancedGroupSoftmax
| 346 |
Overcoming classifier imbalance for long-tail object detection with balanced group softmax
|
https://scholar.google.com/scholar?cluster=241324425955768124&hl=en&as_sdt=0,47
| 12 | 2,020 |
Camera Trace Erasing
| 16 |
cvpr
| 3 | 1 |
2023-06-03 02:43:01.998000
|
https://github.com/ngchc/CameraTE
| 8 |
Camera trace erasing
|
https://scholar.google.com/scholar?cluster=2544710194731719584&hl=en&as_sdt=0,11
| 5 | 2,020 |
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
| 196 |
cvpr
| 0 | 0 |
2023-06-03 02:43:02.198000
|
https://github.com/huitangtang/SRDC-CVPR2020
| 1 |
Unsupervised domain adaptation via structurally regularized deep clustering
|
https://scholar.google.com/scholar?cluster=6363086439618954977&hl=en&as_sdt=0,33
| 1 | 2,020 |
Symmetry and Group in Attribute-Object Compositions
| 68 |
cvpr
| 5 | 1 |
2023-06-03 02:43:02.399000
|
https://github.com/DirtyHarryLYL/SymNet
| 47 |
Symmetry and group in attribute-object compositions
|
https://scholar.google.com/scholar?cluster=16870815556752021056&hl=en&as_sdt=0,21
| 7 | 2,020 |
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
| 146 |
cvpr
| 25 | 6 |
2023-06-03 02:43:02.599000
|
https://github.com/HyeongminLEE/AdaCoF-pytorch
| 161 |
Adacof: Adaptive collaboration of flows for video frame interpolation
|
https://scholar.google.com/scholar?cluster=10771538884046797245&hl=en&as_sdt=0,5
| 9 | 2,020 |
Blurry Video Frame Interpolation
| 70 |
cvpr
| 24 | 1 |
2023-06-03 02:43:02.799000
|
https://github.com/laomao0/BIN
| 198 |
Blurry video frame interpolation
|
https://scholar.google.com/scholar?cluster=12096278443404837492&hl=en&as_sdt=0,9
| 9 | 2,020 |
Learning to Learn Single Domain Generalization
| 260 |
cvpr
| 26 | 11 |
2023-06-03 02:43:03
|
https://github.com/joffery/M-ADA
| 129 |
Learning to learn single domain generalization
|
https://scholar.google.com/scholar?cluster=14587848551854785624&hl=en&as_sdt=0,5
| 11 | 2,020 |
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
| 484 |
cvpr
| 262 | 72 |
2023-06-03 02:43:03.200000
|
https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
| 1,188 |
Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
|
https://scholar.google.com/scholar?cluster=15368170985283079245&hl=en&as_sdt=0,36
| 47 | 2,020 |
CNN-Generated Images Are Surprisingly Easy to Spot... for Now
| 550 |
cvpr
| 150 | 15 |
2023-06-03 02:43:03.404000
|
https://github.com/PeterWang512/CNNDetection
| 683 |
CNN-generated images are surprisingly easy to spot... for now
|
https://scholar.google.com/scholar?cluster=6504477120744697567&hl=en&as_sdt=0,36
| 22 | 2,020 |
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
| 24 |
cvpr
| 5 | 1 |
2023-06-03 02:43:03.606000
|
https://github.com/a554b554/DefenseByAttack
| 6 |
One man's trash is another man's treasure: Resisting adversarial examples by adversarial examples
|
https://scholar.google.com/scholar?cluster=17905691031782291050&hl=en&as_sdt=0,44
| 2 | 2,020 |
Image Processing Using Multi-Code GAN Prior
| 244 |
cvpr
| 44 | 12 |
2023-06-03 02:43:03.807000
|
https://github.com/genforce/mganprior
| 288 |
Image processing using multi-code gan prior
|
https://scholar.google.com/scholar?cluster=10065538952107776043&hl=en&as_sdt=0,5
| 14 | 2,020 |
Rethinking Performance Estimation in Neural Architecture Search
| 22 |
cvpr
| 21 | 3 |
2023-06-03 02:43:04.008000
|
https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS
| 164 |
Rethinking performance estimation in neural architecture search
|
https://scholar.google.com/scholar?cluster=15122321645117188815&hl=en&as_sdt=0,5
| 4 | 2,020 |
ColorFool: Semantic Adversarial Colorization
| 84 |
cvpr
| 10 | 2 |
2023-06-03 02:43:04.208000
|
https://github.com/smartcameras/ColorFool
| 48 |
Colorfool: Semantic adversarial colorization
|
https://scholar.google.com/scholar?cluster=9584849271056226945&hl=en&as_sdt=0,5
| 3 | 2,020 |
Bi3D: Stereo Depth Estimation via Binary Classifications
| 62 |
cvpr
| 25 | 7 |
2023-06-03 02:43:04.408000
|
https://github.com/NVlabs/Bi3D
| 150 |
Bi3d: Stereo depth estimation via binary classifications
|
https://scholar.google.com/scholar?cluster=11709717789111168184&hl=en&as_sdt=0,33
| 26 | 2,020 |
Probability Weighted Compact Feature for Domain Adaptive Retrieval
| 28 |
cvpr
| 9 | 1 |
2023-06-03 02:43:04.609000
|
https://github.com/fuxianghuang1/PWCF
| 20 |
Probability weighted compact feature for domain adaptive retrieval
|
https://scholar.google.com/scholar?cluster=5336430328985289253&hl=en&as_sdt=0,33
| 5 | 2,020 |
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion
| 64 |
cvpr
| 24 | 9 |
2023-06-03 02:43:04.809000
|
https://github.com/AdamKortylewski/CompositionalNets
| 104 |
Compositional convolutional neural networks: A deep architecture with innate robustness to partial occlusion
|
https://scholar.google.com/scholar?cluster=6915140898194313831&hl=en&as_sdt=0,44
| 2 | 2,020 |
Norm-Aware Embedding for Efficient Person Search
| 83 |
cvpr
| 14 | 5 |
2023-06-03 02:43:05.010000
|
https://github.com/DeanChan/NAE4PS
| 80 |
Norm-aware embedding for efficient person search
|
https://scholar.google.com/scholar?cluster=8630034257442391060&hl=en&as_sdt=0,14
| 3 | 2,020 |
Syntax-Aware Action Targeting for Video Captioning
| 125 |
cvpr
| 22 | 5 |
2023-06-03 02:43:05.210000
|
https://github.com/SydCaption/SAAT
| 60 |
Syntax-aware action targeting for video captioning
|
https://scholar.google.com/scholar?cluster=9591332838374549550&hl=en&as_sdt=0,5
| 6 | 2,020 |
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
| 207 |
cvpr
| 27 | 12 |
2023-06-03 02:43:05.410000
|
https://github.com/limaosen0/DMGNN
| 122 |
Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction
|
https://scholar.google.com/scholar?cluster=4881783104692242403&hl=en&as_sdt=0,36
| 7 | 2,020 |
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image
| 134 |
cvpr
| 47 | 22 |
2023-06-03 02:43:05.611000
|
https://github.com/yinyunie/Total3DUnderstanding
| 363 |
Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
|
https://scholar.google.com/scholar?cluster=11056192555834324480&hl=en&as_sdt=0,39
| 12 | 2,020 |
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
| 149 |
cvpr
| 8 | 0 |
2023-06-03 02:43:05.811000
|
https://github.com/taksau/GPS-Net
| 56 |
Gps-net: Graph property sensing network for scene graph generation
|
https://scholar.google.com/scholar?cluster=6322890861074553647&hl=en&as_sdt=0,15
| 5 | 2,020 |
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
| 60 |
cvpr
| 5 | 2 |
2023-06-03 02:43:06.011000
|
https://github.com/pratulsrinivasan/lighthouse
| 69 |
Lighthouse: Predicting lighting volumes for spatially-coherent illumination
|
https://scholar.google.com/scholar?cluster=11152875383538691690&hl=en&as_sdt=0,25
| 5 | 2,020 |
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
| 188 |
cvpr
| 18 | 1 |
2023-06-03 02:43:06.212000
|
https://github.com/bismex/HiCMD
| 74 |
Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification
|
https://scholar.google.com/scholar?cluster=11531598637713869801&hl=en&as_sdt=0,43
| 4 | 2,020 |
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
| 33 |
cvpr
| 16 | 4 |
2023-06-03 02:43:06.412000
|
https://github.com/lzqsd/TransparentShapeReconstruction
| 108 |
Through the looking glass: Neural 3d reconstruction of transparent shapes
|
https://scholar.google.com/scholar?cluster=4451887168503458192&hl=en&as_sdt=0,5
| 10 | 2,020 |
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
| 90 |
cvpr
| 8 | 4 |
2023-06-03 02:43:06.612000
|
https://github.com/ShaoTengLiu/Hyperbolic_ZSL
| 65 |
Hyperbolic visual embedding learning for zero-shot recognition
|
https://scholar.google.com/scholar?cluster=3675190322231427239&hl=en&as_sdt=0,23
| 6 | 2,020 |
Clean-Label Backdoor Attacks on Video Recognition Models
| 170 |
cvpr
| 3 | 1 |
2023-06-03 02:43:06.814000
|
https://github.com/ShihaoZhaoZSH/Video-Backdoor-Attack
| 35 |
Clean-label backdoor attacks on video recognition models
|
https://scholar.google.com/scholar?cluster=12989936269315644810&hl=en&as_sdt=0,39
| 3 | 2,020 |
RPM-Net: Robust Point Matching Using Learned Features
| 257 |
cvpr
| 55 | 18 |
2023-06-03 02:43:07.015000
|
https://github.com/yewzijian/RPMNet
| 261 |
Rpm-net: Robust point matching using learned features
|
https://scholar.google.com/scholar?cluster=1833782385864625577&hl=en&as_sdt=0,21
| 15 | 2,020 |
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
| 171 |
cvpr
| 109 | 1 |
2023-06-03 02:43:07.215000
|
https://github.com/m-tassano/fastdvdnet
| 464 |
Fastdvdnet: Towards real-time deep video denoising without flow estimation
|
https://scholar.google.com/scholar?cluster=17981991911827164634&hl=en&as_sdt=0,47
| 11 | 2,020 |
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration
| 201 |
cvpr
| 16 | 15 |
2023-06-03 02:43:07.416000
|
https://github.com/Juliachang/SC-CAM
| 171 |
Weakly-supervised semantic segmentation via sub-category exploration
|
https://scholar.google.com/scholar?cluster=3841587906806965072&hl=en&as_sdt=0,5
| 15 | 2,020 |
Understanding Human Hands in Contact at Internet Scale
| 152 |
cvpr
| 49 | 13 |
2023-06-03 02:43:07.617000
|
https://github.com/ddshan/hand_object_detector
| 179 |
Understanding human hands in contact at internet scale
|
https://scholar.google.com/scholar?cluster=7440647218724115290&hl=en&as_sdt=0,5
| 3 | 2,020 |
Normalizing Flows With Multi-Scale Autoregressive Priors
| 7 |
cvpr
| 3 | 0 |
2023-06-03 02:43:07.818000
|
https://github.com/visinf/mar-scf
| 12 |
Normalizing flows with multi-scale autoregressive priors
|
https://scholar.google.com/scholar?cluster=13193500579133703150&hl=en&as_sdt=0,44
| 2 | 2,020 |
Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
| 423 |
cvpr
| 89 | 14 |
2023-06-03 02:43:08.018000
|
https://github.com/YudeWang/SEAM
| 476 |
Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=14106391617252066537&hl=en&as_sdt=0,10
| 9 | 2,020 |
Dynamic Neural Relational Inference
| 33 |
cvpr
| 18 | 3 |
2023-06-03 02:43:08.218000
|
https://github.com/cgraber/cvpr_dNRI
| 55 |
Dynamic neural relational inference
|
https://scholar.google.com/scholar?cluster=16082332557255209772&hl=en&as_sdt=0,34
| 3 | 2,020 |
TBT: Targeted Neural Network Attack With Bit Trojan
| 149 |
cvpr
| 3 | 0 |
2023-06-03 02:43:08.418000
|
https://github.com/adnansirajrakin/TBT-2020
| 12 |
Tbt: Targeted neural network attack with bit trojan
|
https://scholar.google.com/scholar?cluster=17783112366316447654&hl=en&as_sdt=0,5
| 2 | 2,020 |
Central Similarity Quantization for Efficient Image and Video Retrieval
| 184 |
cvpr
| 45 | 25 |
2023-06-03 02:43:08.619000
|
https://github.com/yuanli2333/Hadamard-Matrix-for-hashing
| 213 |
Central similarity quantization for efficient image and video retrieval
|
https://scholar.google.com/scholar?cluster=849092170265612535&hl=en&as_sdt=0,16
| 9 | 2,020 |
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
| 47 |
cvpr
| 9 | 0 |
2023-06-03 02:43:08.819000
|
https://github.com/clovaai/embedding-expansion
| 70 |
Embedding expansion: Augmentation in embedding space for deep metric learning
|
https://scholar.google.com/scholar?cluster=2367694731347282983&hl=en&as_sdt=0,33
| 6 | 2,020 |
End-to-End Learning of Visual Representations From Uncurated Instructional Videos
| 530 |
cvpr
| 29 | 7 |
2023-06-03 02:43:09.019000
|
https://github.com/antoine77340/MIL-NCE_HowTo100M
| 194 |
End-to-end learning of visual representations from uncurated instructional videos
|
https://scholar.google.com/scholar?cluster=17582844079259155589&hl=en&as_sdt=0,5
| 10 | 2,020 |
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
| 67 |
cvpr
| 39 | 10 |
2023-06-03 02:43:09.220000
|
https://github.com/IntuitionMachines/OrigamiNet
| 136 |
OrigamiNet: weakly-supervised, segmentation-free, one-step, full page text recognition by learning to unfold
|
https://scholar.google.com/scholar?cluster=15845525342391314185&hl=en&as_sdt=0,47
| 14 | 2,020 |
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
| 717 |
cvpr
| 38 | 5 |
2023-06-03 02:43:09.420000
|
https://github.com/danmohaha/celeb-deepfakeforensics
| 206 |
Celeb-df: A large-scale challenging dataset for deepfake forensics
|
https://scholar.google.com/scholar?cluster=7508089290324359409&hl=en&as_sdt=0,47
| 5 | 2,020 |
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
| 384 |
cvpr
| 96 | 63 |
2023-06-03 02:43:09.620000
|
https://github.com/kaiwang960112/Self-Cure-Network
| 394 |
Suppressing uncertainties for large-scale facial expression recognition
|
https://scholar.google.com/scholar?cluster=1497632452874253304&hl=en&as_sdt=0,47
| 10 | 2,020 |
Improved Few-Shot Visual Classification
| 158 |
cvpr
| 15 | 0 |
2023-06-03 02:43:09.821000
|
https://github.com/plai-group/simple-cnaps
| 44 |
Improved few-shot visual classification
|
https://scholar.google.com/scholar?cluster=10179566061976639313&hl=en&as_sdt=0,33
| 8 | 2,020 |
Towards Backward-Compatible Representation Learning
| 62 |
cvpr
| 9 | 0 |
2023-06-03 02:43:10.021000
|
https://github.com/YantaoShen/openBCT
| 55 |
Towards backward-compatible representation learning
|
https://scholar.google.com/scholar?cluster=11261409184426923278&hl=en&as_sdt=0,34
| 7 | 2,020 |
Visual Chirality
| 23 |
cvpr
| 14 | 0 |
2023-06-03 02:43:10.222000
|
https://github.com/linzhiqiu/digital_chirality
| 89 |
Visual chirality
|
https://scholar.google.com/scholar?cluster=7394456161620427993&hl=en&as_sdt=0,23
| 3 | 2,020 |
Neural Architecture Search for Lightweight Non-Local Networks
| 54 |
cvpr
| 16 | 0 |
2023-06-03 02:43:10.423000
|
https://github.com/LiYingwei/AutoNL
| 105 |
Neural architecture search for lightweight non-local networks
|
https://scholar.google.com/scholar?cluster=12383596481862216698&hl=en&as_sdt=0,43
| 7 | 2,020 |
Multi-Domain Learning for Accurate and Few-Shot Color Constancy
| 43 |
cvpr
| 2 | 3 |
2023-06-03 02:43:10.623000
|
https://github.com/msxiaojin/MDLCC
| 13 |
Multi-domain learning for accurate and few-shot color constancy
|
https://scholar.google.com/scholar?cluster=6271057423741121743&hl=en&as_sdt=0,5
| 3 | 2,020 |
UniPose: Unified Human Pose Estimation in Single Images and Videos
| 138 |
cvpr
| 41 | 15 |
2023-06-03 02:43:10.824000
|
https://github.com/bmartacho/UniPose
| 188 |
Unipose: Unified human pose estimation in single images and videos
|
https://scholar.google.com/scholar?cluster=10578191787955309147&hl=en&as_sdt=0,33
| 10 | 2,020 |
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
| 158 |
cvpr
| 14 | 4 |
2023-06-03 02:43:11.024000
|
https://github.com/xaggi/OGNet
| 77 |
Old is gold: Redefining the adversarially learned one-class classifier training paradigm
|
https://scholar.google.com/scholar?cluster=11192774920568187037&hl=en&as_sdt=0,36
| 9 | 2,020 |
AdversarialNAS: Adversarial Neural Architecture Search for GANs
| 63 |
cvpr
| 12 | 1 |
2023-06-03 02:43:11.224000
|
https://github.com/chengaopro/AdversarialNAS
| 70 |
Adversarialnas: Adversarial neural architecture search for gans
|
https://scholar.google.com/scholar?cluster=9918291536670516118&hl=en&as_sdt=0,44
| 12 | 2,020 |
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
| 103 |
cvpr
| 24 | 3 |
2023-06-03 02:43:11.433000
|
https://github.com/SNAS-Series/SNAS-Series
| 134 |
Dsnas: Direct neural architecture search without parameter retraining
|
https://scholar.google.com/scholar?cluster=7757218143839179820&hl=en&as_sdt=0,39
| 5 | 2,020 |
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features
| 59 |
cvpr
| 14 | 9 |
2023-06-03 02:43:11.633000
|
https://github.com/DC1991/G2L_Net
| 108 |
G2l-net: Global to local network for real-time 6d pose estimation with embedding vector features
|
https://scholar.google.com/scholar?cluster=17831261992133196157&hl=en&as_sdt=0,5
| 11 | 2,020 |
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
| 88 |
cvpr
| 30 | 2 |
2023-06-03 02:43:11.833000
|
https://github.com/Na-Z/sess
| 128 |
Sess: Self-ensembling semi-supervised 3d object detection
|
https://scholar.google.com/scholar?cluster=9564727493626498670&hl=en&as_sdt=0,33
| 7 | 2,020 |
DoveNet: Deep Image Harmonization via Domain Verification
| 118 |
cvpr
| 96 | 0 |
2023-06-03 02:43:12.033000
|
https://github.com/bcmi/Image_Harmonization_Datasets
| 694 |
Dovenet: Deep image harmonization via domain verification
|
https://scholar.google.com/scholar?cluster=18199597418789914925&hl=en&as_sdt=0,5
| 14 | 2,020 |
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
| 424 |
cvpr
| 117 | 14 |
2023-06-03 02:43:12.234000
|
https://github.com/bowenc0221/panoptic-deeplab
| 552 |
Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
|
https://scholar.google.com/scholar?cluster=18246305387780116611&hl=en&as_sdt=0,47
| 20 | 2,020 |
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
| 115 |
cvpr
| 13 | 0 |
2023-06-03 02:43:12.434000
|
https://github.com/vcg-uvic/acne
| 49 |
Acne: Attentive context normalization for robust permutation-equivariant learning
|
https://scholar.google.com/scholar?cluster=17062235868798470161&hl=en&as_sdt=0,5
| 13 | 2,020 |
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration
| 54 |
cvpr
| 20 | 0 |
2023-06-03 02:43:12.635000
|
https://github.com/jw4hv/deepflash
| 82 |
Deepflash: An efficient network for learning-based medical image registration
|
https://scholar.google.com/scholar?cluster=4528085594004647024&hl=en&as_sdt=0,5
| 4 | 2,020 |
Distribution-Aware Coordinate Representation for Human Pose Estimation
| 313 |
cvpr
| 899 | 204 |
2023-06-03 02:43:12.835000
|
https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
| 4,043 |
Distribution-aware coordinate representation for human pose estimation
|
https://scholar.google.com/scholar?cluster=9532214621767113733&hl=en&as_sdt=0,36
| 78 | 2,020 |
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction
| 106 |
cvpr
| 34 | 12 |
2023-06-03 02:43:13.035000
|
https://github.com/lrxjason/Attention3DHumanPose
| 143 |
Attention mechanism exploits temporal contexts: Real-time 3d human pose reconstruction
|
https://scholar.google.com/scholar?cluster=10723447341108778673&hl=en&as_sdt=0,11
| 11 | 2,020 |
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask
| 160 |
cvpr
| 74 | 12 |
2023-06-03 02:43:13.235000
|
https://github.com/microsoft/MaskFlownet
| 355 |
Maskflownet: Asymmetric feature matching with learnable occlusion mask
|
https://scholar.google.com/scholar?cluster=13358090819819933445&hl=en&as_sdt=0,5
| 8 | 2,020 |
Diverse Image Generation via Self-Conditioned GANs
| 78 |
cvpr
| 19 | 3 |
2023-06-03 02:43:13.435000
|
https://github.com/stevliu/self-conditioned-gan
| 149 |
Diverse image generation via self-conditioned gans
|
https://scholar.google.com/scholar?cluster=7416192416492647206&hl=en&as_sdt=0,41
| 6 | 2,020 |
Context-Aware and Scale-Insensitive Temporal Repetition Counting
| 21 |
cvpr
| 5 | 6 |
2023-06-03 02:43:13.636000
|
https://github.com/Xiaodomgdomg/Deep-Temporal-Repetition-Counting
| 43 |
Context-aware and scale-insensitive temporal repetition counting
|
https://scholar.google.com/scholar?cluster=8283458455147015844&hl=en&as_sdt=0,5
| 4 | 2,020 |
3FabRec: Fast Few-Shot Face Alignment by Reconstruction
| 58 |
cvpr
| 19 | 2 |
2023-06-03 02:43:13.837000
|
https://github.com/browatbn2/3FabRec
| 123 |
3fabrec: Fast few-shot face alignment by reconstruction
|
https://scholar.google.com/scholar?cluster=4960059173283160994&hl=en&as_sdt=0,5
| 8 | 2,020 |
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
| 21 |
cvpr
| 9 | 2 |
2023-06-03 02:43:14.037000
|
https://github.com/zju-vipa/DEPARA
| 39 |
Depara: Deep attribution graph for deep knowledge transferability
|
https://scholar.google.com/scholar?cluster=8083980828241930895&hl=en&as_sdt=0,5
| 5 | 2,020 |
Video Panoptic Segmentation
| 116 |
cvpr
| 55 | 13 |
2023-06-03 02:43:14.237000
|
https://github.com/mcahny/vps
| 293 |
Video panoptic segmentation
|
https://scholar.google.com/scholar?cluster=17377067048222299228&hl=en&as_sdt=0,10
| 14 | 2,020 |
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
| 558 |
cvpr
| 94 | 2 |
2023-06-03 02:43:14.438000
|
https://github.com/kenziyuliu/ms-g3d
| 380 |
Disentangling and unifying graph convolutions for skeleton-based action recognition
|
https://scholar.google.com/scholar?cluster=14188108076981434930&hl=en&as_sdt=0,5
| 16 | 2,020 |
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data
| 39 |
cvpr
| 6 | 1 |
2023-06-03 02:43:14.639000
|
https://github.com/Healthcare-Robotics/bodies-at-rest
| 57 |
Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data
|
https://scholar.google.com/scholar?cluster=17853257753584764515&hl=en&as_sdt=0,5
| 7 | 2,020 |
Category-Level Articulated Object Pose Estimation
| 127 |
cvpr
| 15 | 28 |
2023-06-03 02:43:14.839000
|
https://github.com/dragonlong/articulated-pose
| 102 |
Category-level articulated object pose estimation
|
https://scholar.google.com/scholar?cluster=17839565446689433965&hl=en&as_sdt=0,34
| 7 | 2,020 |
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks
| 154 |
cvpr
| 38 | 3 |
2023-06-03 02:43:15.040000
|
https://github.com/shachoi/HANet
| 209 |
Cars can't fly up in the sky: Improving urban-scene segmentation via height-driven attention networks
|
https://scholar.google.com/scholar?cluster=11925654838550651404&hl=en&as_sdt=0,44
| 11 | 2,020 |
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
| 212 |
cvpr
| 25 | 8 |
2023-06-03 02:43:15.239000
|
https://github.com/facebookresearch/imvotenet
| 104 |
Imvotenet: Boosting 3d object detection in point clouds with image votes
|
https://scholar.google.com/scholar?cluster=4943660161491158315&hl=en&as_sdt=0,33
| 8 | 2,020 |
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
| 70 |
cvpr
| 26 | 3 |
2023-06-03 02:43:15.439000
|
https://github.com/fabbrimatteo/LoCO
| 131 |
Compressed volumetric heatmaps for multi-person 3d pose estimation
|
https://scholar.google.com/scholar?cluster=11113820627927885466&hl=en&as_sdt=0,41
| 6 | 2,020 |
ZeroQ: A Novel Zero Shot Quantization Framework
| 272 |
cvpr
| 50 | 17 |
2023-06-03 02:43:15.640000
|
https://github.com/amirgholami/ZeroQ
| 240 |
Zeroq: A novel zero shot quantization framework
|
https://scholar.google.com/scholar?cluster=7591323665902876723&hl=en&as_sdt=0,39
| 17 | 2,020 |
Orthogonal Convolutional Neural Networks
| 140 |
cvpr
| 13 | 4 |
2023-06-03 02:43:15.840000
|
https://github.com/samaonline/Orthogonal-Convolutional-Neural-Networks
| 95 |
Orthogonal convolutional neural networks
|
https://scholar.google.com/scholar?cluster=3710519923763274746&hl=en&as_sdt=0,8
| 5 | 2,020 |
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution
| 76 |
cvpr
| 9 | 4 |
2023-06-03 02:43:16.041000
|
https://github.com/JiangtaoNie/UAL
| 27 |
Unsupervised adaptation learning for hyperspectral imagery super-resolution
|
https://scholar.google.com/scholar?cluster=9047547779090001710&hl=en&as_sdt=0,5
| 2 | 2,020 |
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning
| 152 |
cvpr
| 10 | 3 |
2023-06-03 02:43:16.242000
|
https://github.com/yuanyao366/PRP
| 39 |
Video playback rate perception for self-supervised spatio-temporal representation learning
|
https://scholar.google.com/scholar?cluster=9700994684284956285&hl=en&as_sdt=0,44
| 1 | 2,020 |
Just Go With the Flow: Self-Supervised Scene Flow Estimation
| 111 |
cvpr
| 5 | 26 |
2023-06-03 02:43:16.442000
|
https://github.com/HimangiM/Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation
| 51 |
Just go with the flow: Self-supervised scene flow estimation
|
https://scholar.google.com/scholar?cluster=9069838352389120398&hl=en&as_sdt=0,5
| 4 | 2,020 |
StarGAN v2: Diverse Image Synthesis for Multiple Domains
| 1,103 |
cvpr
| 629 | 96 |
2023-06-03 02:43:16.643000
|
https://github.com/clovaai/stargan-v2
| 3,214 |
Stargan v2: Diverse image synthesis for multiple domains
|
https://scholar.google.com/scholar?cluster=8553822083669968040&hl=en&as_sdt=0,34
| 82 | 2,020 |
Gradually Vanishing Bridge for Adversarial Domain Adaptation
| 204 |
cvpr
| 9 | 6 |
2023-06-03 02:43:16.843000
|
https://github.com/cuishuhao/GVB
| 75 |
Gradually vanishing bridge for adversarial domain adaptation
|
https://scholar.google.com/scholar?cluster=3008116530605957509&hl=en&as_sdt=0,48
| 5 | 2,020 |
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