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Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds | 56 | cvpr | 15 | 4 | 2023-06-03 14:30:06.906000 | https://github.com/cheng052/BRNet | 89 | Back-tracing representative points for voting-based 3d object detection in point clouds | https://scholar.google.com/scholar?cluster=5172119343963315393&hl=en&as_sdt=0,5 | 3 | 2,021 |
Rotation Equivariant Siamese Networks for Tracking | 27 | cvpr | 1 | 4 | 2023-06-03 14:30:07.101000 | https://github.com/dkgupta90/re-siamnet | 25 | Rotation equivariant siamese networks for tracking | https://scholar.google.com/scholar?cluster=2650574729569060906&hl=en&as_sdt=0,10 | 8 | 2,021 |
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds | 43 | cvpr | 7 | 4 | 2023-06-03 14:30:07.295000 | https://github.com/weiyithu/PV-RAFT | 47 | Pv-raft: Point-voxel correlation fields for scene flow estimation of point clouds | https://scholar.google.com/scholar?cluster=997486946043239338&hl=en&as_sdt=0,5 | 3 | 2,021 |
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network | 52 | cvpr | 45 | 1 | 2023-06-03 14:30:07.489000 | https://github.com/csjliang/LPTN | 386 | High-resolution photorealistic image translation in real-time: A laplacian pyramid translation network | https://scholar.google.com/scholar?cluster=14166501793789279224&hl=en&as_sdt=0,5 | 12 | 2,021 |
Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features | 59 | cvpr | 12 | 22 | 2023-06-03 14:30:07.684000 | https://github.com/frederickszk/LRNet | 72 | Improving the efficiency and robustness of deepfakes detection through precise geometric features | https://scholar.google.com/scholar?cluster=18274114420858694149&hl=en&as_sdt=0,5 | 2 | 2,021 |
End-to-End Video Instance Segmentation With Transformers | 487 | cvpr | 95 | 25 | 2023-06-03 14:30:07.878000 | https://github.com/Epiphqny/VisTR | 704 | End-to-end video instance segmentation with transformers | https://scholar.google.com/scholar?cluster=10424310778620231784&hl=en&as_sdt=0,48 | 12 | 2,021 |
PatchmatchNet: Learned Multi-View Patchmatch Stereo | 133 | cvpr | 63 | 8 | 2023-06-03 14:30:08.072000 | https://github.com/FangjinhuaWang/PatchmatchNet | 424 | Patchmatchnet: Learned multi-view patchmatch stereo | https://scholar.google.com/scholar?cluster=18322732022474881641&hl=en&as_sdt=0,16 | 10 | 2,021 |
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches | 31 | cvpr | 8 | 5 | 2023-06-03 14:30:08.266000 | https://github.com/bennyguo/sketch2model | 36 | Sketch2model: View-aware 3d modeling from single free-hand sketches | https://scholar.google.com/scholar?cluster=4931108810150583856&hl=en&as_sdt=0,47 | 4 | 2,021 |
A Second-Order Approach to Learning With Instance-Dependent Label Noise | 71 | cvpr | 9 | 2 | 2023-06-03 14:30:08.461000 | https://github.com/UCSC-REAL/CAL | 45 | A second-order approach to learning with instance-dependent label noise | https://scholar.google.com/scholar?cluster=9161510088364032397&hl=en&as_sdt=0,31 | 3 | 2,021 |
Taming Transformers for High-Resolution Image Synthesis | 851 | cvpr | 931 | 129 | 2023-06-03 14:30:08.654000 | https://github.com/CompVis/taming-transformers | 4,299 | Taming transformers for high-resolution image synthesis | https://scholar.google.com/scholar?cluster=12650581806598225058&hl=en&as_sdt=0,5 | 75 | 2,021 |
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation | 154 | cvpr | 157 | 44 | 2023-06-03 14:30:08.849000 | https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS | 771 | Pose-controllable talking face generation by implicitly modularized audio-visual representation | https://scholar.google.com/scholar?cluster=16709572247327062137&hl=en&as_sdt=0,36 | 21 | 2,021 |
Learning the Predictability of the Future | 44 | cvpr | 24 | 0 | 2023-06-03 14:30:09.043000 | https://github.com/cvlab-columbia/hyperfuture | 149 | Learning the predictability of the future | https://scholar.google.com/scholar?cluster=16527013686624401149&hl=en&as_sdt=0,33 | 12 | 2,021 |
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion | 90 | cvpr | 60 | 1 | 2023-06-03 14:30:09.248000 | https://github.com/hkchengrex/MiVOS | 398 | Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion | https://scholar.google.com/scholar?cluster=14171505212158565986&hl=en&as_sdt=0,5 | 14 | 2,021 |
Robust Point Cloud Registration Framework Based on Deep Graph Matching | 99 | cvpr | 13 | 8 | 2023-06-03 14:30:09.442000 | https://github.com/fukexue/RGM | 93 | Robust point cloud registration framework based on deep graph matching | https://scholar.google.com/scholar?cluster=14668089237724280371&hl=en&as_sdt=0,5 | 6 | 2,021 |
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction | 150 | cvpr | 29 | 5 | 2023-06-03 14:30:09.636000 | https://github.com/XLearning-SCU/2021-CVPR-Completer | 85 | Completer: Incomplete multi-view clustering via contrastive prediction | https://scholar.google.com/scholar?cluster=12580655597958281447&hl=en&as_sdt=0,11 | 3 | 2,021 |
Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation | 12 | cvpr | 4 | 2 | 2023-06-03 14:30:09.830000 | https://github.com/amazon-research/read-up | 8 | Learning better visual dialog agents with pretrained visual-linguistic representation | https://scholar.google.com/scholar?cluster=17634548932371863893&hl=en&as_sdt=0,44 | 2 | 2,021 |
Image-to-Image Translation via Hierarchical Style Disentanglement | 59 | cvpr | 50 | 15 | 2023-06-03 14:30:10.024000 | https://github.com/imlixinyang/HiSD | 365 | Image-to-image translation via hierarchical style disentanglement | https://scholar.google.com/scholar?cluster=14902320438514616115&hl=en&as_sdt=0,5 | 7 | 2,021 |
Restoring Extremely Dark Images in Real Time | 27 | cvpr | 22 | 7 | 2023-06-03 14:30:10.218000 | https://github.com/MohitLamba94/Restoring-Extremely-Dark-Images-In-Real-Time | 129 | Restoring extremely dark images in real time | https://scholar.google.com/scholar?cluster=17820256892745594301&hl=en&as_sdt=0,3 | 10 | 2,021 |
What Can Style Transfer and Paintings Do for Model Robustness? | 9 | cvpr | 0 | 0 | 2023-06-03 14:30:10.413000 | https://github.com/hubertsgithub/style_painting_robustness | 4 | What can style transfer and paintings do for model robustness? | https://scholar.google.com/scholar?cluster=11744425304200168858&hl=en&as_sdt=0,22 | 2 | 2,021 |
DeepSurfels: Learning Online Appearance Fusion | 10 | cvpr | 7 | 1 | 2023-06-03 14:30:10.607000 | https://github.com/onlinereconstruction/deep_surfels | 59 | DeepSurfels: Learning online appearance fusion | https://scholar.google.com/scholar?cluster=712300087980113706&hl=en&as_sdt=0,32 | 5 | 2,021 |
Unbiased Mean Teacher for Cross-Domain Object Detection | 133 | cvpr | 8 | 4 | 2023-06-03 14:30:10.802000 | https://github.com/kinredon/umt | 72 | Unbiased mean teacher for cross-domain object detection | https://scholar.google.com/scholar?cluster=16143837810291267401&hl=en&as_sdt=0,35 | 6 | 2,021 |
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection | 94 | cvpr | 12 | 30 | 2023-06-03 14:30:10.996000 | https://github.com/Bohao-Lee/CME | 58 | Beyond max-margin: Class margin equilibrium for few-shot object detection | https://scholar.google.com/scholar?cluster=2030833382199618587&hl=en&as_sdt=0,33 | 1 | 2,021 |
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation | 21 | cvpr | 3 | 6 | 2023-06-03 14:30:11.191000 | https://github.com/HYOJINPARK/Reuse_VOS | 23 | Learning dynamic network using a reuse gate function in semi-supervised video object segmentation | https://scholar.google.com/scholar?cluster=13940373744389019037&hl=en&as_sdt=0,10 | 4 | 2,021 |
FSDR: Frequency Space Domain Randomization for Domain Generalization | 100 | cvpr | 4 | 4 | 2023-06-03 14:30:11.384000 | https://github.com/jxhuang0508/FSDR | 29 | Fsdr: Frequency space domain randomization for domain generalization | https://scholar.google.com/scholar?cluster=13379053152992456686&hl=en&as_sdt=0,33 | 2 | 2,021 |
PLOP: Learning Without Forgetting for Continual Semantic Segmentation | 107 | cvpr | 22 | 6 | 2023-06-03 14:30:11.579000 | https://github.com/arthurdouillard/CVPR2021_PLOP | 124 | Plop: Learning without forgetting for continual semantic segmentation | https://scholar.google.com/scholar?cluster=7315634125927972961&hl=en&as_sdt=0,5 | 4 | 2,021 |
Teachers Do More Than Teach: Compressing Image-to-Image Models | 30 | cvpr | 18 | 4 | 2023-06-03 14:30:11.773000 | https://github.com/snap-research/CAT | 164 | Teachers do more than teach: Compressing image-to-image models | https://scholar.google.com/scholar?cluster=8225246153105742254&hl=en&as_sdt=0,5 | 8 | 2,021 |
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing | 36 | cvpr | 7 | 6 | 2023-06-03 14:30:11.967000 | https://github.com/rucmlcv/L2M-GAN | 53 | L2m-gan: Learning to manipulate latent space semantics for facial attribute editing | https://scholar.google.com/scholar?cluster=12602747068550124262&hl=en&as_sdt=0,10 | 3 | 2,021 |
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments | 13 | cvpr | 10 | 0 | 2023-06-03 14:30:12.161000 | https://github.com/siyandong/NeuralRouting | 66 | Robust neural routing through space partitions for camera relocalization in dynamic indoor environments | https://scholar.google.com/scholar?cluster=9962218736530737887&hl=en&as_sdt=0,5 | 9 | 2,021 |
Understanding Failures of Deep Networks via Robust Feature Extraction | 42 | cvpr | 3 | 0 | 2023-06-03 14:30:12.355000 | https://github.com/singlasahil14/barlow | 34 | Understanding failures of deep networks via robust feature extraction | https://scholar.google.com/scholar?cluster=10378262686408966783&hl=en&as_sdt=0,33 | 1 | 2,021 |
Learning Temporal Consistency for Low Light Video Enhancement From Single Images | 50 | cvpr | 20 | 6 | 2023-06-03 14:30:12.550000 | https://github.com/zkawfanx/StableLLVE | 109 | Learning temporal consistency for low light video enhancement from single images | https://scholar.google.com/scholar?cluster=3430684384737804668&hl=en&as_sdt=0,5 | 8 | 2,021 |
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation | 41 | cvpr | 2 | 2 | 2023-06-03 14:30:12.743000 | https://github.com/astuti/ILA-DA | 22 | Instance level affinity-based transfer for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=6192092144156470763&hl=en&as_sdt=0,5 | 5 | 2,021 |
Anchor-Free Person Search | 67 | cvpr | 32 | 7 | 2023-06-03 14:30:12.937000 | https://github.com/daodaofr/AlignPS | 160 | Anchor-free person search | https://scholar.google.com/scholar?cluster=370980907530218862&hl=en&as_sdt=0,36 | 4 | 2,021 |
Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning | 27 | cvpr | 6 | 4 | 2023-06-03 14:30:13.132000 | https://github.com/azuki-miho/RFCR | 22 | Omni-supervised point cloud segmentation via gradual receptive field component reasoning | https://scholar.google.com/scholar?cluster=9475016043088711593&hl=en&as_sdt=0,3 | 2 | 2,021 |
Shallow Feature Matters for Weakly Supervised Object Localization | 50 | cvpr | 8 | 2 | 2023-06-03 14:30:13.325000 | https://github.com/weijun88/SPOL | 21 | Shallow feature matters for weakly supervised object localization | https://scholar.google.com/scholar?cluster=3339581433972365106&hl=en&as_sdt=0,26 | 1 | 2,021 |
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words | 117 | cvpr | 29 | 2 | 2023-06-03 14:30:13.520000 | https://github.com/zhangxuying1004/RSTNet | 99 | Rstnet: Captioning with adaptive attention on visual and non-visual words | https://scholar.google.com/scholar?cluster=5068866602340287584&hl=en&as_sdt=0,14 | 3 | 2,021 |
PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors | 115 | cvpr | 16 | 8 | 2023-06-03 14:30:13.713000 | https://github.com/zychen-ustc/PSD-Principled-Synthetic-to-Real-Dehazing-Guided-by-Physical-Priors | 88 | PSD: Principled synthetic-to-real dehazing guided by physical priors | https://scholar.google.com/scholar?cluster=3301317357252121587&hl=en&as_sdt=0,33 | 2 | 2,021 |
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling | 59 | cvpr | 20 | 1 | 2023-06-03 14:30:13.907000 | https://github.com/facebookresearch/AttentiveNAS | 96 | Attentivenas: Improving neural architecture search via attentive sampling | https://scholar.google.com/scholar?cluster=8315277370906805362&hl=en&as_sdt=0,5 | 9 | 2,021 |
Multiresolution Knowledge Distillation for Anomaly Detection | 173 | cvpr | 20 | 0 | 2023-06-03 14:30:14.101000 | https://github.com/Niousha12/Knowledge_Distillation_AD | 50 | Multiresolution knowledge distillation for anomaly detection | https://scholar.google.com/scholar?cluster=12042429450923024445&hl=en&as_sdt=0,34 | 0 | 2,021 |
Towards Evaluating and Training Verifiably Robust Neural Networks | 16 | cvpr | 0 | 2 | 2023-06-03 14:30:14.295000 | https://github.com/ZhaoyangLyu/VerifiablyRobustNN | 15 | Towards evaluating and training verifiably robust neural networks | https://scholar.google.com/scholar?cluster=7927009820415851005&hl=en&as_sdt=0,5 | 2 | 2,021 |
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training | 40 | cvpr | 3 | 0 | 2023-06-03 14:30:14.490000 | https://github.com/islam-nassar/semco | 43 | All labels are not created equal: Enhancing semi-supervision via label grouping and co-training | https://scholar.google.com/scholar?cluster=12399027302616476471&hl=en&as_sdt=0,33 | 3 | 2,021 |
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding | 32 | cvpr | 5 | 2 | 2023-06-03 14:30:14.684000 | https://github.com/youngfly11/ReIR-WeaklyGrounding.pytorch | 22 | Relation-aware instance refinement for weakly supervised visual grounding | https://scholar.google.com/scholar?cluster=12243869184345891895&hl=en&as_sdt=0,5 | 2 | 2,021 |
PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths | 99 | cvpr | 12 | 9 | 2023-06-03 14:30:14.878000 | https://github.com/diviswen/PMP-Net | 37 | Pmp-net: Point cloud completion by learning multi-step point moving paths | https://scholar.google.com/scholar?cluster=3446048452262850232&hl=en&as_sdt=0,44 | 2 | 2,021 |
Spatially-Invariant Style-Codes Controlled Makeup Transfer | 28 | cvpr | 36 | 13 | 2023-06-03 14:30:15.072000 | https://github.com/makeuptransfer/SCGAN | 128 | Spatially-invariant style-codes controlled makeup transfer | https://scholar.google.com/scholar?cluster=5979466171705280461&hl=en&as_sdt=0,5 | 5 | 2,021 |
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning | 18 | cvpr | 13 | 1 | 2023-06-03 14:30:15.267000 | https://github.com/dornik/reagent | 40 | Reagent: Point cloud registration using imitation and reinforcement learning | https://scholar.google.com/scholar?cluster=12039411482069665809&hl=en&as_sdt=0,33 | 2 | 2,021 |
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | 122 | cvpr | 27 | 5 | 2023-06-03 14:30:15.462000 | https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation | 146 | Few-shot segmentation without meta-learning: A good transductive inference is all you need? | https://scholar.google.com/scholar?cluster=16904542927834091495&hl=en&as_sdt=0,5 | 8 | 2,021 |
Neural Scene Graphs for Dynamic Scenes | 121 | cvpr | 28 | 6 | 2023-06-03 14:30:15.655000 | https://github.com/princeton-computational-imaging/neural-scene-graphs | 184 | Neural scene graphs for dynamic scenes | https://scholar.google.com/scholar?cluster=6249527695742813290&hl=en&as_sdt=0,5 | 7 | 2,021 |
Lite-HRNet: A Lightweight High-Resolution Network | 144 | cvpr | 115 | 58 | 2023-06-03 14:30:15.849000 | https://github.com/HRNet/Lite-HRNet | 724 | Lite-hrnet: A lightweight high-resolution network | https://scholar.google.com/scholar?cluster=10774532196436088435&hl=en&as_sdt=0,5 | 21 | 2,021 |
Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning | 38 | cvpr | 19 | 0 | 2023-06-03 14:30:16.043000 | https://github.com/amzn/image-to-recipe-transformers | 75 | Revamping cross-modal recipe retrieval with hierarchical transformers and self-supervised learning | https://scholar.google.com/scholar?cluster=3856631632033542711&hl=en&as_sdt=0,5 | 6 | 2,021 |
Semantic Palette: Guiding Scene Generation With Class Proportions | 2 | cvpr | 3 | 0 | 2023-06-03 14:30:16.238000 | https://github.com/valeoai/SemanticPalette | 24 | Semantic palette: Guiding scene generation with class proportions | https://scholar.google.com/scholar?cluster=17263626928391641174&hl=en&as_sdt=0,3 | 3 | 2,021 |
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers | 1,614 | cvpr | 145 | 10 | 2023-06-03 14:30:16.432000 | https://github.com/fudan-zvg/SETR | 939 | Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers | https://scholar.google.com/scholar?cluster=2013933719074368496&hl=en&as_sdt=0,5 | 35 | 2,021 |
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes | 9 | cvpr | 18 | 6 | 2023-06-03 14:30:16.626000 | https://github.com/hlei-ziyan/Picasso | 103 | Picasso: A cuda-based library for deep learning over 3d meshes | https://scholar.google.com/scholar?cluster=16489285615655819626&hl=en&as_sdt=0,5 | 13 | 2,021 |
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality | 24 | cvpr | 9 | 3 | 2023-06-03 14:30:16.820000 | https://github.com/affect2mm/emotion-timeseries | 11 | Affect2mm: Affective analysis of multimedia content using emotion causality | https://scholar.google.com/scholar?cluster=17792171219469660003&hl=en&as_sdt=0,19 | 1 | 2,021 |
Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers | 101 | cvpr | 67 | 9 | 2023-06-03 14:30:17.014000 | https://github.com/lkeab/BCNet | 459 | Deep occlusion-aware instance segmentation with overlapping bilayers | https://scholar.google.com/scholar?cluster=15732260026637551039&hl=en&as_sdt=0,5 | 9 | 2,021 |
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective | 70 | cvpr | 6 | 0 | 2023-06-03 14:30:17.208000 | https://github.com/jeremy313/Soteria | 39 | Soteria: Provable defense against privacy leakage in federated learning from representation perspective | https://scholar.google.com/scholar?cluster=1639045703363354875&hl=en&as_sdt=0,39 | 2 | 2,021 |
Learning Optical Flow From Still Images | 23 | cvpr | 11 | 1 | 2023-06-03 14:30:17.402000 | https://github.com/mattpoggi/depthstillation | 141 | Learning optical flow from still images | https://scholar.google.com/scholar?cluster=16680029073395272488&hl=en&as_sdt=0,5 | 3 | 2,021 |
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera | 39 | cvpr | 84 | 2 | 2023-06-03 14:30:17.596000 | https://github.com/Brummi/MonoRec | 531 | MonoRec: Semi-supervised dense reconstruction in dynamic environments from a single moving camera | https://scholar.google.com/scholar?cluster=12286893036914513750&hl=en&as_sdt=0,21 | 27 | 2,021 |
Linguistic Structures As Weak Supervision for Visual Scene Graph Generation | 27 | cvpr | 4 | 0 | 2023-06-03 14:30:17.807000 | https://github.com/yekeren/WSSGG | 35 | Linguistic structures as weak supervision for visual scene graph generation | https://scholar.google.com/scholar?cluster=15867273824482740665&hl=en&as_sdt=0,43 | 2 | 2,021 |
From Shadow Generation To Shadow Removal | 40 | cvpr | 8 | 6 | 2023-06-03 14:30:18.002000 | https://github.com/hhqweasd/G2R-ShadowNet | 41 | From shadow generation to shadow removal | https://scholar.google.com/scholar?cluster=8295209265303745577&hl=en&as_sdt=0,39 | 3 | 2,021 |
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation | 120 | cvpr | 16 | 10 | 2023-06-03 14:30:18.196000 | https://github.com/jbeomlee93/AdvCAM | 114 | Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation | https://scholar.google.com/scholar?cluster=11730723595404757151&hl=en&as_sdt=0,31 | 2 | 2,021 |
SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization | 8 | cvpr | 0 | 2 | 2023-06-03 15:10:22.685000 | https://github.com/canjie-luo/real-300k | 29 | SimAN: exploring self-supervised representation learning of scene text via similarity-aware normalization | https://scholar.google.com/scholar?cluster=8731827534213223271&hl=en&as_sdt=0,44 | 3 | 2,022 |
Estimating Example Difficulty Using Variance of Gradients | 41 | cvpr | 6 | 0 | 2023-06-03 15:10:22.879000 | https://github.com/chirag126/VOG | 55 | Estimating example difficulty using variance of gradients | https://scholar.google.com/scholar?cluster=11875282308322336079&hl=en&as_sdt=0,26 | 3 | 2,022 |
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast | 35 | cvpr | 12 | 3 | 2023-06-03 15:10:23.137000 | https://github.com/usr922/wseg | 114 | Weakly supervised semantic segmentation by pixel-to-prototype contrast | https://scholar.google.com/scholar?cluster=9426593234701255657&hl=en&as_sdt=0,10 | 2 | 2,022 |
Learning Adaptive Warping for Real-World Rolling Shutter Correction | 5 | cvpr | 2 | 0 | 2023-06-03 15:10:23.356000 | https://github.com/ljzycmd/bsrsc | 25 | Learning adaptive warping for real-world rolling shutter correction | https://scholar.google.com/scholar?cluster=16345027106223087803&hl=en&as_sdt=0,36 | 3 | 2,022 |
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification | 16 | cvpr | 2 | 0 | 2023-06-03 15:10:23.590000 | https://github.com/LouieYang/MCL | 38 | Learning to affiliate: Mutual centralized learning for few-shot classification | https://scholar.google.com/scholar?cluster=14447790618194656650&hl=en&as_sdt=0,3 | 3 | 2,022 |
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions | 9 | cvpr | 5 | 1 | 2023-06-03 15:10:23.836000 | https://github.com/nvlabs/bongard-hoi | 49 | Bongard-hoi: Benchmarking few-shot visual reasoning for human-object interactions | https://scholar.google.com/scholar?cluster=9397175359738479859&hl=en&as_sdt=0,33 | 7 | 2,022 |
Recurrent Dynamic Embedding for Video Object Segmentation | 14 | cvpr | 6 | 3 | 2023-06-03 15:10:24.072000 | https://github.com/limingxing00/rde-vos-cvpr2022 | 31 | Recurrent dynamic embedding for video object segmentation | https://scholar.google.com/scholar?cluster=748792613032702791&hl=en&as_sdt=0,33 | 3 | 2,022 |
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism | 10 | cvpr | 0 | 3 | 2023-06-03 15:10:24.312000 | https://github.com/dkxocl/rosseta | 4 | Continual object detection via prototypical task correlation guided gating mechanism | https://scholar.google.com/scholar?cluster=12695099468525271301&hl=en&as_sdt=0,5 | 1 | 2,022 |
Deep Hierarchical Semantic Segmentation | 35 | cvpr | 22 | 6 | 2023-06-03 15:10:24.522000 | https://github.com/0liliulei/hieraseg | 229 | Deep hierarchical semantic segmentation | https://scholar.google.com/scholar?cluster=15631366303943962005&hl=en&as_sdt=0,21 | 9 | 2,022 |
DATA: Domain-Aware and Task-Aware Self-Supervised Learning | 3 | cvpr | 3 | 3 | 2023-06-03 15:10:24.767000 | https://github.com/gaia-vision/gaia-ssl | 18 | DATA: Domain-Aware and Task-Aware Self-supervised Learning | https://scholar.google.com/scholar?cluster=10551788358785783150&hl=en&as_sdt=0,34 | 2 | 2,022 |
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds | 41 | cvpr | 16 | 12 | 2023-06-03 15:10:25.015000 | https://github.com/skyhehe123/voxset | 165 | Voxel set transformer: A set-to-set approach to 3d object detection from point clouds | https://scholar.google.com/scholar?cluster=509520809209241334&hl=en&as_sdt=0,5 | 3 | 2,022 |
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM | 134 | cvpr | 149 | 1 | 2023-06-03 15:10:25.289000 | https://github.com/cvg/nice-slam | 1,021 | Nice-slam: Neural implicit scalable encoding for slam | https://scholar.google.com/scholar?cluster=2376705359809252522&hl=en&as_sdt=0,14 | 34 | 2,022 |
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion | 29 | cvpr | 12 | 2 | 2023-06-03 15:10:25.484000 | https://github.com/gutianpei/mid | 98 | Stochastic trajectory prediction via motion indeterminacy diffusion | https://scholar.google.com/scholar?cluster=8008640819060084074&hl=en&as_sdt=0,33 | 9 | 2,022 |
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning | 25 | cvpr | 0 | 3 | 2023-06-03 15:10:25.690000 | https://github.com/xduxyli/scen-master | 16 | Siamese contrastive embedding network for compositional zero-shot learning | https://scholar.google.com/scholar?cluster=381868240874280468&hl=en&as_sdt=0,14 | 2 | 2,022 |
Cross-Modal Map Learning for Vision and Language Navigation | 13 | cvpr | 2 | 4 | 2023-06-03 15:10:25.893000 | https://github.com/ggeorgak11/cm2 | 22 | Cross-modal map learning for vision and language navigation | https://scholar.google.com/scholar?cluster=10974280323957175956&hl=en&as_sdt=0,5 | 3 | 2,022 |
Do Learned Representations Respect Causal Relationships? | 2 | cvpr | 2 | 1 | 2023-06-03 15:10:26.132000 | https://github.com/human-analysis/causal-relations-between-representations | 16 | Do learned representations respect causal relationships? | https://scholar.google.com/scholar?cluster=5558982647399599200&hl=en&as_sdt=0,47 | 2 | 2,022 |
ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation | 27 | cvpr | 10 | 6 | 2023-06-03 15:10:26.379000 | https://github.com/suyz526/zebrapose | 64 | Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation | https://scholar.google.com/scholar?cluster=12848982769215820402&hl=en&as_sdt=0,33 | 9 | 2,022 |
Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding | 41 | cvpr | 30 | 1 | 2023-06-03 15:10:26.611000 | https://github.com/dqiaole/zits_inpainting | 235 | Incremental transformer structure enhanced image inpainting with masking positional encoding | https://scholar.google.com/scholar?cluster=12152435237473254275&hl=en&as_sdt=0,43 | 13 | 2,022 |
Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation | 50 | cvpr | 11 | 7 | 2023-06-03 15:10:26.831000 | https://github.com/xulianuwa/mctformer | 96 | Multi-class token transformer for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=9207086502844896554&hl=en&as_sdt=0,5 | 5 | 2,022 |
CRIS: CLIP-Driven Referring Image Segmentation | 68 | cvpr | 31 | 5 | 2023-06-03 15:10:27.054000 | https://github.com/DerrickWang005/CRIS.pytorch | 167 | Cris: Clip-driven referring image segmentation | https://scholar.google.com/scholar?cluster=12396058489435840533&hl=en&as_sdt=0,41 | 2 | 2,022 |
CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image | 19 | cvpr | 7 | 10 | 2023-06-03 15:10:27.325000 | https://github.com/reyhanehne/cvf-sid_pytorch | 48 | CVF-SID: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image | https://scholar.google.com/scholar?cluster=12432404920328258294&hl=en&as_sdt=0,5 | 1 | 2,022 |
FaceFormer: Speech-Driven 3D Facial Animation With Transformers | 36 | cvpr | 103 | 53 | 2023-06-03 15:10:27.548000 | https://github.com/EvelynFan/FaceFormer | 504 | Faceformer: Speech-driven 3d facial animation with transformers | https://scholar.google.com/scholar?cluster=4890874188830606098&hl=en&as_sdt=0,39 | 10 | 2,022 |
Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots | 28 | cvpr | 11 | 2 | 2023-06-03 15:10:27.807000 | https://github.com/demonsjin/blind2unblind | 81 | Blind2unblind: Self-supervised image denoising with visible blind spots | https://scholar.google.com/scholar?cluster=11607429091423964704&hl=en&as_sdt=0,5 | 2 | 2,022 |
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization | 49 | cvpr | 10 | 1 | 2023-06-03 15:10:28.059000 | https://github.com/ybzh/efdm | 126 | Exact feature distribution matching for arbitrary style transfer and domain generalization | https://scholar.google.com/scholar?cluster=11528215253653754225&hl=en&as_sdt=0,5 | 4 | 2,022 |
Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks | 23 | cvpr | 3 | 2 | 2023-06-03 15:10:28.263000 | https://github.com/jcy132/Hneg_SRC | 46 | Exploring patch-wise semantic relation for contrastive learning in image-to-image translation tasks | https://scholar.google.com/scholar?cluster=6005655039000553018&hl=en&as_sdt=0,11 | 5 | 2,022 |
CLRNet: Cross Layer Refinement Network for Lane Detection | 27 | cvpr | 75 | 78 | 2023-06-03 15:10:28.482000 | https://github.com/Turoad/clrnet | 318 | Clrnet: Cross layer refinement network for lane detection | https://scholar.google.com/scholar?cluster=11442601300141569813&hl=en&as_sdt=0,25 | 11 | 2,022 |
Balanced and Hierarchical Relation Learning for One-Shot Object Detection | 3 | cvpr | 7 | 5 | 2023-06-03 15:10:28.716000 | https://github.com/hero-y/bhrl | 35 | Balanced and hierarchical relation learning for one-shot object detection | https://scholar.google.com/scholar?cluster=12345820201585228534&hl=en&as_sdt=0,5 | 1 | 2,022 |
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts | 40 | cvpr | 6 | 3 | 2023-06-03 15:10:28.937000 | https://github.com/Phoenix1153/ViT_OOD_generalization | 80 | Delving deep into the generalization of vision transformers under distribution shifts | https://scholar.google.com/scholar?cluster=3383711996123690231&hl=en&as_sdt=0,10 | 3 | 2,022 |
LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network | 10 | cvpr | 5 | 0 | 2023-06-03 15:10:29.170000 | https://github.com/zhigangjiang/LGT-Net | 50 | Lgt-net: Indoor panoramic room layout estimation with geometry-aware transformer network | https://scholar.google.com/scholar?cluster=11535993822419894663&hl=en&as_sdt=0,36 | 2 | 2,022 |
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning | 15 | cvpr | 12 | 11 | 2023-06-03 15:10:29.379000 | https://github.com/jiahao-uts/slpt-master | 79 | Sparse local patch transformer for robust face alignment and landmarks inherent relation learning | https://scholar.google.com/scholar?cluster=12559311512689037820&hl=en&as_sdt=0,34 | 3 | 2,022 |
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging | 21 | cvpr | 7 | 6 | 2023-06-03 15:10:29.595000 | https://github.com/mark12ding/fame | 38 | Motion-aware contrastive video representation learning via foreground-background merging | https://scholar.google.com/scholar?cluster=6148259841571528152&hl=en&as_sdt=0,3 | 3 | 2,022 |
SIOD: Single Instance Annotated per Category per Image for Object Detection | 6 | cvpr | 0 | 2 | 2023-06-03 15:10:29.831000 | https://github.com/solicucu/siod | 19 | SIOD: single instance annotated per category per image for object detection | https://scholar.google.com/scholar?cluster=16538856504701001407&hl=en&as_sdt=0,5 | 3 | 2,022 |
Uformer: A General U-Shaped Transformer for Image Restoration | 416 | cvpr | 94 | 33 | 2023-06-03 15:10:30.031000 | https://github.com/ZhendongWang6/Uformer | 587 | Uformer: A general u-shaped transformer for image restoration | https://scholar.google.com/scholar?cluster=14031000766044293652&hl=en&as_sdt=0,5 | 13 | 2,022 |
Accelerating DETR Convergence via Semantic-Aligned Matching | 34 | cvpr | 45 | 10 | 2023-06-03 15:10:30.278000 | https://github.com/zhanggongjie/sam-detr | 261 | Accelerating DETR convergence via semantic-aligned matching | https://scholar.google.com/scholar?cluster=6658129475220097194&hl=en&as_sdt=0,19 | 10 | 2,022 |
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos | 18 | cvpr | 7 | 12 | 2023-06-03 15:10:30.483000 | https://github.com/ttlmh/bridge-prompt | 74 | Bridge-prompt: Towards ordinal action understanding in instructional videos | https://scholar.google.com/scholar?cluster=4812875950233018558&hl=en&as_sdt=0,33 | 3 | 2,022 |
Vision Transformer With Deformable Attention | 113 | cvpr | 49 | 11 | 2023-06-03 15:10:30.711000 | https://github.com/leaplabthu/dat | 497 | Vision transformer with deformable attention | https://scholar.google.com/scholar?cluster=11231231375435598889&hl=en&as_sdt=0,5 | 10 | 2,022 |
High-Resolution Face Swapping via Latent Semantics Disentanglement | 22 | cvpr | 5 | 8 | 2023-06-03 15:10:30.948000 | https://github.com/cnnlstm/fslsd_hires | 78 | High-resolution face swapping via latent semantics disentanglement | https://scholar.google.com/scholar?cluster=13488189955819125408&hl=en&as_sdt=0,5 | 8 | 2,022 |
SimMatch: Semi-Supervised Learning With Similarity Matching | 51 | cvpr | 8 | 0 | 2023-06-03 15:10:31.154000 | https://github.com/kylezheng1997/simmatch | 71 | Simmatch: Semi-supervised learning with similarity matching | https://scholar.google.com/scholar?cluster=9332236623932380397&hl=en&as_sdt=0,23 | 2 | 2,022 |
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing | 9 | cvpr | 7 | 0 | 2023-06-03 15:10:31.373000 | https://github.com/open-air-sun/cerberus | 65 | Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing | https://scholar.google.com/scholar?cluster=13536647247810424831&hl=en&as_sdt=0,5 | 3 | 2,022 |
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes | 11 | cvpr | 0 | 0 | 2023-06-03 15:10:31.575000 | https://github.com/twhui/rm-depth | 33 | Rm-depth: Unsupervised learning of recurrent monocular depth in dynamic scenes | https://scholar.google.com/scholar?cluster=4268400877815672740&hl=en&as_sdt=0,5 | 14 | 2,022 |
Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish | 9 | cvpr | 5 | 1 | 2023-06-03 15:10:31.779000 | https://github.com/yanconglin/vanishingpoint_houghtransform_gaussiansphere | 48 | Deep vanishing point detection: Geometric priors make dataset variations vanish | https://scholar.google.com/scholar?cluster=17537664596776285133&hl=en&as_sdt=0,10 | 2 | 2,022 |
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