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DR.VIC: Decomposition and Reasoning for Video Individual Counting | 6 | cvpr | 9 | 8 | 2023-06-03 15:12:49.520000 | https://github.com/taohan10200/drnet | 44 | Dr. vic: Decomposition and reasoning for video individual counting | https://scholar.google.com/scholar?cluster=6120306712778926266&hl=en&as_sdt=0,33 | 5 | 2,022 |
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding | 18 | cvpr | 5 | 0 | 2023-06-03 15:12:49.715000 | https://github.com/leaplabthu/pseudo-q | 116 | Pseudo-q: Generating pseudo language queries for visual grounding | https://scholar.google.com/scholar?cluster=1079438410491832434&hl=en&as_sdt=0,14 | 2 | 2,022 |
ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations | 14 | cvpr | 7 | 1 | 2023-06-03 15:12:49.909000 | https://github.com/mingwuzheng/imface | 125 | Imface: A nonlinear 3d morphable face model with implicit neural representations | https://scholar.google.com/scholar?cluster=11337079410561771178&hl=en&as_sdt=0,44 | 23 | 2,022 |
MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image | 26 | cvpr | 60 | 8 | 2023-06-03 15:12:50.104000 | https://github.com/SeanChenxy/HandMesh | 278 | MobRecon: Mobile-friendly hand mesh reconstruction from monocular image | https://scholar.google.com/scholar?cluster=2734254068249927802&hl=en&as_sdt=0,5 | 10 | 2,022 |
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference | 6 | cvpr | 0 | 0 | 2023-06-03 15:12:50.299000 | https://github.com/rkjones4/ngsp | 4 | The neurally-guided shape parser: Grammar-based labeling of 3d shape regions with approximate inference | https://scholar.google.com/scholar?cluster=1666091857334650840&hl=en&as_sdt=0,5 | 3 | 2,022 |
AlignMixup: Improving Representations by Interpolating Aligned Features | 17 | cvpr | 8 | 4 | 2023-06-03 15:12:50.502000 | https://github.com/shashankvkt/alignmixup_cvpr22 | 55 | Alignmixup: Improving representations by interpolating aligned features | https://scholar.google.com/scholar?cluster=15402867223438087088&hl=en&as_sdt=0,26 | 1 | 2,022 |
Novel Class Discovery in Semantic Segmentation | 10 | cvpr | 3 | 2 | 2023-06-03 15:12:50.696000 | https://github.com/HeliosZhao/NCDSS | 57 | Novel class discovery in semantic segmentation | https://scholar.google.com/scholar?cluster=13123220317420170415&hl=en&as_sdt=0,44 | 4 | 2,022 |
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging | 8 | cvpr | 8 | 0 | 2023-06-03 15:12:50.891000 | https://github.com/jianzhangcs/herosnet | 21 | Herosnet: Hyperspectral explicable reconstruction and optimal sampling deep network for snapshot compressive imaging | https://scholar.google.com/scholar?cluster=9806896834866016887&hl=en&as_sdt=0,5 | 2 | 2,022 |
MAXIM: Multi-Axis MLP for Image Processing | 124 | cvpr | 81 | 12 | 2023-06-03 15:12:51.085000 | https://github.com/google-research/maxim | 716 | Maxim: Multi-axis mlp for image processing | https://scholar.google.com/scholar?cluster=18275282813589182456&hl=en&as_sdt=0,5 | 12 | 2,022 |
Disentangling Visual Embeddings for Attributes and Objects | 16 | cvpr | 2 | 2 | 2023-06-03 15:12:51.279000 | https://github.com/nirat1606/oadis | 24 | Disentangling visual embeddings for attributes and objects | https://scholar.google.com/scholar?cluster=215939798860441698&hl=en&as_sdt=0,5 | 4 | 2,022 |
Detecting Deepfakes With Self-Blended Images | 37 | cvpr | 22 | 18 | 2023-06-03 15:12:51.475000 | https://github.com/mapooon/selfblendedimages | 121 | Detecting deepfakes with self-blended images | https://scholar.google.com/scholar?cluster=7314584816604343182&hl=en&as_sdt=0,5 | 7 | 2,022 |
Towards Better Understanding Attribution Methods | 9 | cvpr | 4 | 0 | 2023-06-03 15:12:51.669000 | https://github.com/sukrutrao/attribution-evaluation | 11 | Towards better understanding attribution methods | https://scholar.google.com/scholar?cluster=13578269228145112248&hl=en&as_sdt=0,44 | 2 | 2,022 |
MiniViT: Compressing Vision Transformers With Weight Multiplexing | 47 | cvpr | 166 | 22 | 2023-06-03 15:12:51.864000 | https://github.com/microsoft/cream | 1,064 | Minivit: Compressing vision transformers with weight multiplexing | https://scholar.google.com/scholar?cluster=14067747907803223122&hl=en&as_sdt=0,5 | 25 | 2,022 |
On the Integration of Self-Attention and Convolution | 87 | cvpr | 36 | 16 | 2023-06-03 15:12:52.059000 | https://github.com/leaplabthu/acmix | 281 | On the integration of self-attention and convolution | https://scholar.google.com/scholar?cluster=17860676705797643505&hl=en&as_sdt=0,18 | 4 | 2,022 |
PSTR: End-to-End One-Step Person Search With Transformers | 10 | cvpr | 8 | 7 | 2023-06-03 15:12:52.254000 | https://github.com/jialecao001/pstr | 31 | PSTR: End-to-end one-step person search with transformers | https://scholar.google.com/scholar?cluster=17186904653130910323&hl=en&as_sdt=0,31 | 5 | 2,022 |
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation | 5 | cvpr | 0 | 0 | 2023-06-03 15:12:52.449000 | https://github.com/dante0shy/W4DTS | 4 | Weakly supervised segmentation on outdoor 4d point clouds with temporal matching and spatial graph propagation | https://scholar.google.com/scholar?cluster=8736466185006926519&hl=en&as_sdt=0,11 | 1 | 2,022 |
Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes | 7 | cvpr | 1 | 1 | 2023-06-03 15:12:52.643000 | https://github.com/samrudhdhirangrej/STAM-Sequential-Transformers-Attention-Model | 5 | Consistency driven sequential transformers attention model for partially observable scenes | https://scholar.google.com/scholar?cluster=12665179691187026215&hl=en&as_sdt=0,5 | 2 | 2,022 |
NFormer: Robust Person Re-Identification With Neighbor Transformer | 29 | cvpr | 9 | 7 | 2023-06-03 15:12:52.836000 | https://github.com/haochenheheda/nformer | 56 | Nformer: Robust person re-identification with neighbor transformer | https://scholar.google.com/scholar?cluster=17136560426512678248&hl=en&as_sdt=0,14 | 1 | 2,022 |
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis | 7 | cvpr | 10 | 4 | 2023-06-03 15:12:53.030000 | https://github.com/zhihao-lin/neurmips | 105 | Neurmips: Neural mixture of planar experts for view synthesis | https://scholar.google.com/scholar?cluster=1632486663608785078&hl=en&as_sdt=0,5 | 7 | 2,022 |
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation | 123 | cvpr | 91 | 14 | 2023-06-03 15:12:53.224000 | https://github.com/gwang-kim/diffusionclip | 592 | Diffusionclip: Text-guided diffusion models for robust image manipulation | https://scholar.google.com/scholar?cluster=9357336449213296541&hl=en&as_sdt=0,5 | 7 | 2,022 |
Unseen Classes at a Later Time? No Problem | 0 | cvpr | 4 | 0 | 2023-06-03 15:12:53.419000 | https://github.com/sumitramalagi/unseen-classes-at-a-later-time | 12 | Unseen Classes at a Later Time? No Problem | https://scholar.google.com/scholar?cluster=9796461758714223638&hl=en&as_sdt=0,36 | 1 | 2,022 |
GlideNet: Global, Local and Intrinsic Based Dense Embedding NETwork for Multi-Category Attributes Prediction | 5 | cvpr | 2 | 0 | 2023-06-03 15:12:53.613000 | https://github.com/kareem-metwaly/glidenet | 24 | Glidenet: Global, local and intrinsic based dense embedding network for multi-category attributes prediction | https://scholar.google.com/scholar?cluster=13841981352415211893&hl=en&as_sdt=0,22 | 1 | 2,022 |
Learning the Degradation Distribution for Blind Image Super-Resolution | 12 | cvpr | 10 | 17 | 2023-06-03 15:12:53.807000 | https://github.com/greatlog/UnpairedSR | 135 | Learning the degradation distribution for blind image super-resolution | https://scholar.google.com/scholar?cluster=11157268463116975803&hl=en&as_sdt=0,34 | 5 | 2,022 |
Self-Supervised Spatial Reasoning on Multi-View Line Drawings | 0 | cvpr | 1 | 0 | 2023-06-03 15:12:54.001000 | https://github.com/ai4ce/Contrastive-SPARE3D | 21 | Self-supervised Spatial Reasoning on Multi-View Line Drawings | https://scholar.google.com/scholar?cluster=12979398971543214260&hl=en&as_sdt=0,19 | 3 | 2,022 |
Hybrid Relation Guided Set Matching for Few-Shot Action Recognition | 18 | cvpr | 4 | 12 | 2023-06-03 15:12:54.195000 | https://github.com/alibaba-mmai-research/HyRSM | 21 | Hybrid relation guided set matching for few-shot action recognition | https://scholar.google.com/scholar?cluster=3952513944084278223&hl=en&as_sdt=0,33 | 2 | 2,022 |
Delving Into the Estimation Shift of Batch Normalization in a Network | 8 | cvpr | 5 | 5 | 2023-06-03 15:12:54.389000 | https://github.com/huangleibuaa/xbnblock | 25 | Delving into the estimation shift of batch normalization in a network | https://scholar.google.com/scholar?cluster=4738166450324685205&hl=en&as_sdt=0,47 | 2 | 2,022 |
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks | 8 | cvpr | 7 | 0 | 2023-06-03 15:12:54.583000 | https://github.com/fawazsammani/nlxgpt | 31 | NLX-GPT: A model for natural language explanations in vision and vision-language tasks | https://scholar.google.com/scholar?cluster=8662989333140452131&hl=en&as_sdt=0,34 | 1 | 2,022 |
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images | 17 | cvpr | 6 | 3 | 2023-06-03 15:12:54.778000 | https://github.com/zzw-szu/cdcl | 23 | Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in histopathologic images | https://scholar.google.com/scholar?cluster=1318173233917005478&hl=en&as_sdt=0,5 | 1 | 2,022 |
Joint Forecasting of Panoptic Segmentations With Difference Attention | 1 | cvpr | 2 | 1 | 2023-06-03 15:12:54.971000 | https://github.com/cgraber/psf-diffattn | 4 | Joint forecasting of panoptic segmentations with difference attention | https://scholar.google.com/scholar?cluster=11350100219269203678&hl=en&as_sdt=0,21 | 1 | 2,022 |
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation | 4 | cvpr | 1 | 1 | 2023-06-03 15:12:55.165000 | https://github.com/yztang4/warpinggan | 16 | Warpinggan: Warping multiple uniform priors for adversarial 3d point cloud generation | https://scholar.google.com/scholar?cluster=1870479647707327308&hl=en&as_sdt=0,5 | 1 | 2,022 |
Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning | 10 | cvpr | 6 | 3 | 2023-06-03 15:12:55.359000 | https://github.com/minghchen/carl_code | 60 | Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning | https://scholar.google.com/scholar?cluster=15909063164280067703&hl=en&as_sdt=0,5 | 3 | 2,022 |
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild | 4 | cvpr | 2 | 0 | 2023-06-03 15:12:55.553000 | https://github.com/cvlab-stonybrook/HandLer | 20 | Forward propagation, backward regression, and pose association for hand tracking in the wild | https://scholar.google.com/scholar?cluster=13815293027556568808&hl=en&as_sdt=0,5 | 6 | 2,022 |
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo | 12 | cvpr | 11 | 7 | 2023-06-03 15:12:55.747000 | https://github.com/mizhenxing/gbi-net | 94 | Generalized binary search network for highly-efficient multi-view stereo | https://scholar.google.com/scholar?cluster=2067795094219418786&hl=en&as_sdt=0,5 | 9 | 2,022 |
Face2Exp: Combating Data Biases for Facial Expression Recognition | 20 | cvpr | 3 | 0 | 2023-06-03 15:12:55.941000 | https://github.com/danzeng1990/face2exp | 10 | Face2exp: Combating data biases for facial expression recognition | https://scholar.google.com/scholar?cluster=6305348363652601881&hl=en&as_sdt=0,26 | 0 | 2,022 |
Towards Robust and Reproducible Active Learning Using Neural Networks | 28 | cvpr | 4 | 0 | 2023-06-03 15:12:56.135000 | https://github.com/prateekmunjal/torchal | 48 | Towards robust and reproducible active learning using neural networks | https://scholar.google.com/scholar?cluster=9506328256170962398&hl=en&as_sdt=0,33 | 2 | 2,022 |
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework | 6 | cvpr | 2 | 6 | 2023-06-03 15:12:56.329000 | https://github.com/ganwanshui/es6d | 27 | ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework | https://scholar.google.com/scholar?cluster=11437985035935432033&hl=en&as_sdt=0,33 | 3 | 2,022 |
Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs | 49 | cvpr | 44 | 19 | 2023-06-03 15:12:56.523000 | https://github.com/cmusatyalab/mega-nerf | 346 | Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs | https://scholar.google.com/scholar?cluster=9397631381611401&hl=en&as_sdt=0,5 | 15 | 2,022 |
Temporally Efficient Vision Transformer for Video Instance Segmentation | 20 | cvpr | 18 | 9 | 2023-06-03 15:12:56.717000 | https://github.com/hustvl/tevit | 214 | Temporally efficient vision transformer for video instance segmentation | https://scholar.google.com/scholar?cluster=12121457393934602812&hl=en&as_sdt=0,36 | 7 | 2,022 |
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization | 23 | cvpr | 8 | 0 | 2023-06-03 15:12:56.912000 | https://github.com/ynysjtu/ood_bench | 42 | Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization | https://scholar.google.com/scholar?cluster=12360806136384688467&hl=en&as_sdt=0,5 | 3 | 2,022 |
Forecasting From LiDAR via Future Object Detection | 10 | cvpr | 9 | 0 | 2023-06-03 15:12:57.106000 | https://github.com/neeharperi/futuredet | 104 | Forecasting from lidar via future object detection | https://scholar.google.com/scholar?cluster=9283857749595095965&hl=en&as_sdt=0,33 | 3 | 2,022 |
The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration | 14 | cvpr | 6 | 1 | 2023-06-03 15:12:57.301000 | https://github.com/by-liu/mbls | 41 | The devil is in the margin: Margin-based label smoothing for network calibration | https://scholar.google.com/scholar?cluster=3433503507084425850&hl=en&as_sdt=0,5 | 1 | 2,022 |
OnePose: One-Shot Object Pose Estimation Without CAD Models | 36 | cvpr | 67 | 28 | 2023-06-03 15:12:57.500000 | https://github.com/zju3dv/OnePose | 791 | Onepose: One-shot object pose estimation without cad models | https://scholar.google.com/scholar?cluster=3971107129233795900&hl=en&as_sdt=0,33 | 56 | 2,022 |
Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization | 41 | cvpr | 5 | 2 | 2023-06-03 15:12:57.694000 | https://github.com/jinx-USTC/GI-ReID | 31 | Cloth-changing person re-identification from a single image with gait prediction and regularization | https://scholar.google.com/scholar?cluster=13715470973363687442&hl=en&as_sdt=0,5 | 5 | 2,022 |
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow | 36 | cvpr | 5 | 1 | 2023-06-03 15:12:57.888000 | https://github.com/askerlee/craft | 58 | Craft: Cross-attentional flow transformer for robust optical flow | https://scholar.google.com/scholar?cluster=15464678858494458398&hl=en&as_sdt=0,33 | 3 | 2,022 |
Federated Class-Incremental Learning | 30 | cvpr | 17 | 2 | 2023-06-03 15:12:58.083000 | https://github.com/conditionwang/fcil | 66 | Federated class-incremental learning | https://scholar.google.com/scholar?cluster=1565556417311154296&hl=en&as_sdt=0,5 | 4 | 2,022 |
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics | 7 | cvpr | 0 | 0 | 2023-06-03 15:12:58.277000 | https://github.com/wang-weixi/restricted_sampling | 10 | Self-supervised deep image restoration via adaptive stochastic gradient langevin dynamics | https://scholar.google.com/scholar?cluster=7828036028065181633&hl=en&as_sdt=0,5 | 2 | 2,022 |
Extracting Triangular 3D Models, Materials, and Lighting From Images | 83 | cvpr | 193 | 52 | 2023-06-03 15:12:58.471000 | https://github.com/NVlabs/nvdiffrec | 1,703 | Extracting triangular 3d models, materials, and lighting from images | https://scholar.google.com/scholar?cluster=6158309756121688689&hl=en&as_sdt=0,31 | 51 | 2,022 |
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective | 31 | cvpr | 12 | 0 | 2023-06-03 15:12:58.667000 | https://github.com/somepago/dbviz | 66 | Can neural nets learn the same model twice? investigating reproducibility and double descent from the decision boundary perspective | https://scholar.google.com/scholar?cluster=8786312838221119947&hl=en&as_sdt=0,34 | 3 | 2,022 |
Cross-Modal Background Suppression for Audio-Visual Event Localization | 13 | cvpr | 5 | 0 | 2023-06-03 15:12:58.862000 | https://github.com/marmot-xy/cmbs | 22 | Cross-modal background suppression for audio-visual event localization | https://scholar.google.com/scholar?cluster=6736750991894490913&hl=en&as_sdt=0,10 | 1 | 2,022 |
Parameter-Free Online Test-Time Adaptation | 25 | cvpr | 4 | 3 | 2023-06-03 15:12:59.057000 | https://github.com/fiveai/lame | 53 | Parameter-free online test-time adaptation | https://scholar.google.com/scholar?cluster=2855726690492926827&hl=en&as_sdt=0,5 | 5 | 2,022 |
Multi-View Transformer for 3D Visual Grounding | 13 | cvpr | 1 | 4 | 2023-06-03 15:12:59.254000 | https://github.com/sega-hsj/mvt-3dvg | 44 | Multi-view transformer for 3d visual grounding | https://scholar.google.com/scholar?cluster=17924715872503683586&hl=en&as_sdt=0,10 | 4 | 2,022 |
Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels | 12 | cvpr | 0 | 0 | 2023-06-03 15:12:59.448000 | https://github.com/yikai-wang/spr-lnl | 14 | Scalable penalized regression for noise detection in learning with noisy labels | https://scholar.google.com/scholar?cluster=458554296339547749&hl=en&as_sdt=0,10 | 1 | 2,022 |
SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection | 30 | cvpr | 11 | 2 | 2023-06-03 15:12:59.643000 | https://github.com/cityu-aim-group/sigma | 106 | Sigma: Semantic-complete graph matching for domain adaptive object detection | https://scholar.google.com/scholar?cluster=17887538672732382103&hl=en&as_sdt=0,5 | 6 | 2,022 |
Continual Predictive Learning From Videos | 4 | cvpr | 2 | 2 | 2023-06-03 15:12:59.838000 | https://github.com/jc043/cpl | 10 | Continual Predictive Learning from Videos | https://scholar.google.com/scholar?cluster=17445780936647782462&hl=en&as_sdt=0,5 | 1 | 2,022 |
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning | 10 | cvpr | 2 | 0 | 2023-06-03 15:13:00.033000 | https://github.com/yitewang/metantk-nas | 11 | Global convergence of maml and theory-inspired neural architecture search for few-shot learning | https://scholar.google.com/scholar?cluster=14137481107584919193&hl=en&as_sdt=0,47 | 3 | 2,022 |
Knowledge Distillation: A Good Teacher Is Patient and Consistent | 103 | cvpr | 58 | 6 | 2023-06-03 15:13:00.228000 | https://github.com/google-research/big_vision | 878 | Knowledge distillation: A good teacher is patient and consistent | https://scholar.google.com/scholar?cluster=12041530417862145268&hl=en&as_sdt=0,5 | 23 | 2,022 |
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces | 4 | cvpr | 0 | 0 | 2023-06-03 15:13:00.422000 | https://github.com/jx-zhong-for-academic-purpose/kinet | 18 | No pain, big gain: classify dynamic point cloud sequences with static models by fitting feature-level space-time surfaces | https://scholar.google.com/scholar?cluster=14397724581913029354&hl=en&as_sdt=0,5 | 8 | 2,022 |
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation | 35 | cvpr | 3 | 1 | 2023-06-03 15:13:00.625000 | https://github.com/qymeng94/dsr | 30 | Training high-performance low-latency spiking neural networks by differentiation on spike representation | https://scholar.google.com/scholar?cluster=3967951227165330050&hl=en&as_sdt=0,5 | 1 | 2,022 |
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction | 25 | cvpr | 79 | 6 | 2023-06-03 15:13:00.819000 | https://github.com/ZikangZhou/HiVT | 426 | Hivt: Hierarchical vector transformer for multi-agent motion prediction | https://scholar.google.com/scholar?cluster=3886543382399789682&hl=en&as_sdt=0,33 | 33 | 2,022 |
Scribble-Supervised LiDAR Semantic Segmentation | 24 | cvpr | 17 | 0 | 2023-06-03 15:13:01.013000 | https://github.com/ouenal/scribblekitti | 118 | Scribble-supervised lidar semantic segmentation | https://scholar.google.com/scholar?cluster=13978048439602258574&hl=en&as_sdt=0,10 | 11 | 2,022 |
Structured Sparse R-CNN for Direct Scene Graph Generation | 17 | cvpr | 1 | 0 | 2023-06-03 15:13:01.208000 | https://github.com/mcg-nju/structured-sparse-rcnn | 48 | Structured sparse r-cnn for direct scene graph generation | https://scholar.google.com/scholar?cluster=3862789668091273745&hl=en&as_sdt=0,5 | 2 | 2,022 |
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space | 22 | cvpr | 10 | 2 | 2023-06-03 15:13:01.403000 | https://github.com/arnav0400/vit-slim | 70 | Vision transformer slimming: Multi-dimension searching in continuous optimization space | https://scholar.google.com/scholar?cluster=11243993643991610263&hl=en&as_sdt=0,5 | 5 | 2,022 |
Implicit Sample Extension for Unsupervised Person Re-Identification | 22 | cvpr | 1,087 | 190 | 2023-06-03 15:13:01.598000 | https://github.com/PaddlePaddle/PaddleClas | 4,860 | Implicit sample extension for unsupervised person re-identification | https://scholar.google.com/scholar?cluster=11097071489515751336&hl=en&as_sdt=0,11 | 73 | 2,022 |
Label, Verify, Correct: A Simple Few Shot Object Detection Method | 31 | cvpr | 12 | 13 | 2023-06-03 15:13:01.793000 | https://github.com/prannaykaul/lvc | 67 | Label, verify, correct: A simple few shot object detection method | https://scholar.google.com/scholar?cluster=15981199466446115851&hl=en&as_sdt=0,7 | 3 | 2,022 |
Energy-Based Latent Aligner for Incremental Learning | 19 | cvpr | 7 | 0 | 2023-06-03 15:13:01.988000 | https://github.com/josephkj/eli | 39 | Energy-based latent aligner for incremental learning | https://scholar.google.com/scholar?cluster=7831440552872014227&hl=en&as_sdt=0,14 | 3 | 2,022 |
Autoregressive Image Generation Using Residual Quantization | 44 | cvpr | 65 | 8 | 2023-06-03 15:13:02.182000 | https://github.com/kakaobrain/rq-vae-transformer | 566 | Autoregressive image generation using residual quantization | https://scholar.google.com/scholar?cluster=5953877530421044413&hl=en&as_sdt=0,10 | 15 | 2,022 |
Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes | 18 | cvpr | 11 | 13 | 2023-06-03 15:13:02.380000 | https://github.com/hongsukchoi/3dcrowdnet_release | 124 | Learning to estimate robust 3D human mesh from in-the-wild crowded scenes | https://scholar.google.com/scholar?cluster=2094586402537632937&hl=en&as_sdt=0,5 | 9 | 2,022 |
HL-Net: Heterophily Learning Network for Scene Graph Generation | 13 | cvpr | 1 | 2 | 2023-06-03 15:13:02.575000 | https://github.com/siml3/hl-net | 8 | HL-Net: Heterophily learning network for scene graph generation | https://scholar.google.com/scholar?cluster=6746926126987228342&hl=en&as_sdt=0,11 | 1 | 2,022 |
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge | 16 | cvpr | 13 | 0 | 2023-06-03 15:13:02.769000 | https://github.com/DensoITLab/TeachAugment | 57 | Teachaugment: Data augmentation optimization using teacher knowledge | https://scholar.google.com/scholar?cluster=8610314008643441319&hl=en&as_sdt=0,36 | 4 | 2,022 |
Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin | 22 | cvpr | 5 | 3 | 2023-06-03 15:13:02.964000 | https://github.com/hangyu94/ada-cm | 46 | Towards semi-supervised deep facial expression recognition with an adaptive confidence margin | https://scholar.google.com/scholar?cluster=2363323039551556812&hl=en&as_sdt=0,7 | 1 | 2,022 |
Group R-CNN for Weakly Semi-Supervised Object Detection With Points | 11 | cvpr | 11 | 5 | 2023-06-03 15:13:03.158000 | https://github.com/jshilong/grouprcnn | 132 | Group R-CNN for weakly semi-supervised object detection with points | https://scholar.google.com/scholar?cluster=5091840667952394824&hl=en&as_sdt=0,5 | 5 | 2,022 |
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning | 17 | cvpr | 3 | 2 | 2023-06-03 15:13:03.352000 | https://github.com/minghangz/cpl | 32 | Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning | https://scholar.google.com/scholar?cluster=16465723860400402568&hl=en&as_sdt=0,5 | 2 | 2,022 |
A Conservative Approach for Unbiased Learning on Unknown Biases | 6 | cvpr | 1 | 1 | 2023-06-03 15:13:03.547000 | https://github.com/aandyjeon/ubnet | 23 | A conservative approach for unbiased learning on unknown biases | https://scholar.google.com/scholar?cluster=5903607608052787146&hl=en&as_sdt=0,21 | 1 | 2,022 |
Masked-Attention Mask Transformer for Universal Image Segmentation | 364 | cvpr | 274 | 118 | 2023-06-03 15:13:03.741000 | https://github.com/facebookresearch/Mask2Former | 1,524 | Masked-attention mask transformer for universal image segmentation | https://scholar.google.com/scholar?cluster=10375739191012965737&hl=en&as_sdt=0,6 | 27 | 2,022 |
Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction | 11 | cvpr | 3 | 3 | 2023-06-03 15:13:03.936000 | https://github.com/wei-mao-2019/wat | 34 | Weakly-supervised action transition learning for stochastic human motion prediction | https://scholar.google.com/scholar?cluster=3476343182791072133&hl=en&as_sdt=0,5 | 1 | 2,022 |
Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection | 14 | cvpr | 3 | 5 | 2023-06-03 15:13:04.130000 | https://github.com/mcg-nju/tia | 31 | Task-specific inconsistency alignment for domain adaptive object detection | https://scholar.google.com/scholar?cluster=7513023529480256736&hl=en&as_sdt=0,24 | 4 | 2,022 |
Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark | 18 | cvpr | 6 | 2 | 2023-06-03 15:13:04.325000 | https://github.com/vipseg-dataset/vipseg-dataset | 105 | Large-scale video panoptic segmentation in the wild: A benchmark | https://scholar.google.com/scholar?cluster=567776318564767438&hl=en&as_sdt=0,5 | 2 | 2,022 |
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation | 7 | cvpr | 2 | 0 | 2023-06-03 15:13:04.519000 | https://github.com/dzh19990407/lbdt | 19 | Language-bridged spatial-temporal interaction for referring video object segmentation | https://scholar.google.com/scholar?cluster=6573116128933368170&hl=en&as_sdt=0,5 | 1 | 2,022 |
GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains | 1 | cvpr | 1 | 1 | 2023-06-03 15:13:04.713000 | https://github.com/hellodfan/grainspace | 6 | GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains | https://scholar.google.com/scholar?cluster=11520823297240729054&hl=en&as_sdt=0,5 | 2 | 2,022 |
BokehMe: When Neural Rendering Meets Classical Rendering | 10 | cvpr | 4 | 1 | 2023-06-03 15:13:04.916000 | https://github.com/juewenpeng/bokehme | 140 | BokehMe: When neural rendering meets classical rendering | https://scholar.google.com/scholar?cluster=11129971862430927906&hl=en&as_sdt=0,11 | 3 | 2,022 |
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild | 9 | cvpr | 5 | 1 | 2023-06-03 15:13:05.111000 | https://github.com/cvlab-stonybrook/BodyHands | 53 | Whose hands are these? hand detection and hand-body association in the wild | https://scholar.google.com/scholar?cluster=2993714044954142948&hl=en&as_sdt=0,14 | 6 | 2,022 |
Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification | 5 | cvpr | 4 | 2 | 2023-06-03 15:13:05.322000 | https://github.com/vcm-project233/mitml | 24 | Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification | https://scholar.google.com/scholar?cluster=6715456311955986100&hl=en&as_sdt=0,5 | 2 | 2,022 |
What Matters for Meta-Learning Vision Regression Tasks? | 11 | cvpr | 5 | 0 | 2023-06-03 15:13:05.520000 | https://github.com/boschresearch/what-matters-for-meta-learning | 17 | What Matters For Meta-Learning Vision Regression Tasks? | https://scholar.google.com/scholar?cluster=13546300489255251342&hl=en&as_sdt=0,44 | 3 | 2,022 |
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation | 14 | cvpr | 2 | 8 | 2023-06-03 15:13:05.714000 | https://github.com/feobi1999/tdd | 28 | Cross domain object detection by target-perceived dual branch distillation | https://scholar.google.com/scholar?cluster=2857882908165147607&hl=en&as_sdt=0,33 | 1 | 2,022 |
Video Swin Transformer | 579 | cvpr | 182 | 61 | 2023-06-03 15:13:05.909000 | https://github.com/SwinTransformer/Video-Swin-Transformer | 1,131 | Video swin transformer | https://scholar.google.com/scholar?cluster=5833041667751260373&hl=en&as_sdt=0,33 | 9 | 2,022 |
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation | 19 | cvpr | 5 | 10 | 2023-06-03 15:13:06.103000 | https://github.com/hi-ft/erd | 40 | Overcoming catastrophic forgetting in incremental object detection via elastic response distillation | https://scholar.google.com/scholar?cluster=1433907519873386658&hl=en&as_sdt=0,33 | 1 | 2,022 |
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity | 12 | cvpr | 9 | 3 | 2023-06-03 15:13:06.301000 | https://github.com/LinQinLiang/SSAH-adversarial-attack | 32 | Frequency-driven imperceptible adversarial attack on semantic similarity | https://scholar.google.com/scholar?cluster=17065701980780256748&hl=en&as_sdt=0,33 | 0 | 2,022 |
BoxeR: Box-Attention for 2D and 3D Transformers | 12 | cvpr | 18 | 6 | 2023-06-03 15:13:06.506000 | https://github.com/kienduynguyen/boxer | 121 | Boxer: Box-attention for 2d and 3d transformers | https://scholar.google.com/scholar?cluster=1805226328438105949&hl=en&as_sdt=0,11 | 4 | 2,022 |
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning | 19 | cvpr | 16 | 3 | 2023-06-03 15:13:06.700000 | https://github.com/mediabrain-sjtu/groupnet | 69 | Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning | https://scholar.google.com/scholar?cluster=4430607748119163601&hl=en&as_sdt=0,5 | 1 | 2,022 |
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds | 9 | cvpr | 0 | 0 | 2023-06-03 15:13:06.895000 | https://github.com/georg-bn/zz-net | 3 | Zz-net: A universal rotation equivariant architecture for 2d point clouds | https://scholar.google.com/scholar?cluster=14073603853135717915&hl=en&as_sdt=0,5 | 2 | 2,022 |
SVIP: Sequence VerIfication for Procedures in Videos | 6 | cvpr | 2 | 3 | 2023-06-03 15:13:07.089000 | https://github.com/svip-lab/SVIP-Sequence-VerIfication-for-Procedures-in-Videos | 17 | SVIP: Sequence VerIfication for Procedures in Videos | https://scholar.google.com/scholar?cluster=1027862013166223118&hl=en&as_sdt=0,5 | 2 | 2,022 |
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation | 13 | cvpr | 3 | 4 | 2023-06-03 15:13:07.283000 | https://github.com/dayan-guan/usrn | 24 | Unbiased subclass regularization for semi-supervised semantic segmentation | https://scholar.google.com/scholar?cluster=9582218535208088942&hl=en&as_sdt=0,5 | 1 | 2,022 |
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation | 15 | cvpr | 14 | 4 | 2023-06-03 15:13:07.477000 | https://github.com/princeton-vl/coupled-iterative-refinement | 73 | Coupled iterative refinement for 6D multi-object pose estimation | https://scholar.google.com/scholar?cluster=11571991360126090293&hl=en&as_sdt=0,14 | 8 | 2,022 |
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction | 5 | cvpr | 3 | 3 | 2023-06-03 15:13:07.671000 | https://github.com/koulakis/h-nne | 36 | Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction | https://scholar.google.com/scholar?cluster=11819915220514598721&hl=en&as_sdt=0,23 | 3 | 2,022 |
Decoupling Zero-Shot Semantic Segmentation | 45 | cvpr | 3 | 4 | 2023-06-03 15:13:07.865000 | https://github.com/dingjiansw101/zegformer | 136 | Decoupling zero-shot semantic segmentation | https://scholar.google.com/scholar?cluster=14815843761254993307&hl=en&as_sdt=0,5 | 9 | 2,022 |
Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in "In-the-Wild" Videos | 4 | cvpr | 18 | 5 | 2023-06-03 15:13:08.060000 | https://github.com/foivospar/NED | 111 | Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in" In-the-Wild" Videos | https://scholar.google.com/scholar?cluster=18047484222356560316&hl=en&as_sdt=0,5 | 6 | 2,022 |
PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models | 8 | cvpr | 1 | 0 | 2023-06-03 15:13:08.254000 | https://github.com/chiutaiyin/pca-knowledge-distillation | 12 | PCA-based knowledge distillation towards lightweight and content-style balanced photorealistic style transfer models | https://scholar.google.com/scholar?cluster=383904189920752008&hl=en&as_sdt=0,5 | 2 | 2,022 |
Transformer Tracking With Cyclic Shifting Window Attention | 19 | cvpr | 6 | 8 | 2023-06-03 15:13:08.448000 | https://github.com/skyesong38/cswintt | 49 | Transformer tracking with cyclic shifting window attention | https://scholar.google.com/scholar?cluster=12734796414080676153&hl=en&as_sdt=0,33 | 3 | 2,022 |
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability | 17 | cvpr | 3 | 2 | 2023-06-03 15:13:08.642000 | https://github.com/jhl-hust/svre | 18 | Stochastic variance reduced ensemble adversarial attack for boosting the adversarial transferability | https://scholar.google.com/scholar?cluster=6215208880030340350&hl=en&as_sdt=0,5 | 1 | 2,022 |
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild | 26 | cvpr | 11 | 0 | 2023-06-03 15:13:08.837000 | https://github.com/deeplearning-wisc/stud | 95 | Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild | https://scholar.google.com/scholar?cluster=18001485986532838919&hl=en&as_sdt=0,5 | 4 | 2,022 |
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