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Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers | 38 | cvpr | 28 | 8 | 2023-06-03 15:13:09.031000 | https://github.com/zhiqi-li/Panoptic-SegFormer | 174 | Panoptic segformer: Delving deeper into panoptic segmentation with transformers | https://scholar.google.com/scholar?cluster=11135517644142739642&hl=en&as_sdt=0,44 | 4 | 2,022 |
Towards Understanding Adversarial Robustness of Optical Flow Networks | 7 | cvpr | 3 | 0 | 2023-06-03 15:13:09.226000 | https://github.com/lmb-freiburg/understanding_flow_robustness | 8 | Towards understanding adversarial robustness of optical flow networks | https://scholar.google.com/scholar?cluster=12225060266995149980&hl=en&as_sdt=0,4 | 4 | 2,022 |
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning | 9 | cvpr | 3 | 2 | 2023-06-03 15:13:09.422000 | https://github.com/ljin0429/hist | 13 | Hypergraph-induced semantic tuplet loss for deep metric learning | https://scholar.google.com/scholar?cluster=15475244425319619070&hl=en&as_sdt=0,5 | 1 | 2,022 |
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning | 2 | cvpr | 1 | 0 | 2023-06-03 15:13:09.616000 | https://github.com/naver-ai/burn | 10 | Unsupervised representation learning for binary networks by joint classifier learning | https://scholar.google.com/scholar?cluster=11918637577590771091&hl=en&as_sdt=0,10 | 1 | 2,022 |
Computing Wasserstein-p Distance Between Images With Linear Cost | 4 | cvpr | 1 | 1 | 2023-06-03 15:13:09.810000 | https://github.com/ucascnic/cudaot | 47 | Computing Wasserstein-p Distance Between Images with Linear Cost | https://scholar.google.com/scholar?cluster=15704609829457034992&hl=en&as_sdt=0,34 | 1 | 2,022 |
Investigating Tradeoffs in Real-World Video Super-Resolution | 28 | cvpr | 103 | 34 | 2023-06-03 15:13:10.005000 | https://github.com/ckkelvinchan/realbasicvsr | 666 | Investigating tradeoffs in real-world video super-resolution | https://scholar.google.com/scholar?cluster=12914353721061047169&hl=en&as_sdt=0,33 | 13 | 2,022 |
Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering | 11 | cvpr | 6 | 2 | 2023-06-03 15:13:10.200000 | https://github.com/shubham-goel/ds | 63 | Differentiable Stereopsis: Meshes from multiple views using differentiable rendering | https://scholar.google.com/scholar?cluster=12089062565847805968&hl=en&as_sdt=0,5 | 13 | 2,022 |
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation | 43 | cvpr | 38 | 20 | 2023-06-03 15:13:10.394000 | https://github.com/hustvl/TopFormer | 314 | TopFormer: Token pyramid transformer for mobile semantic segmentation | https://scholar.google.com/scholar?cluster=4250030993072671612&hl=en&as_sdt=0,39 | 8 | 2,022 |
The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation | 25 | cvpr | 1 | 0 | 2023-06-03 15:13:10.589000 | https://github.com/muktilin/nice | 18 | The devil is in the labels: Noisy label correction for robust scene graph generation | https://scholar.google.com/scholar?cluster=13903966642474117404&hl=en&as_sdt=0,18 | 1 | 2,022 |
High Quality Segmentation for Ultra High-Resolution Images | 8 | cvpr | 42 | 18 | 2023-06-03 15:13:10.783000 | https://github.com/dvlab-research/Entity | 443 | High quality segmentation for ultra high-resolution images | https://scholar.google.com/scholar?cluster=1606621854462362861&hl=en&as_sdt=0,21 | 20 | 2,022 |
Global Tracking via Ensemble of Local Trackers | 7 | cvpr | 0 | 2 | 2023-06-03 15:13:10.977000 | https://github.com/zikunzhou/gtelt | 13 | Global tracking via ensemble of local trackers | https://scholar.google.com/scholar?cluster=7160061588239539027&hl=en&as_sdt=0,5 | 4 | 2,022 |
3DAC: Learning Attribute Compression for Point Clouds | 10 | cvpr | 2 | 0 | 2023-06-03 15:13:11.171000 | https://github.com/fatPeter/ThreeDAC | 10 | 3dac: Learning attribute compression for point clouds | https://scholar.google.com/scholar?cluster=13998291749300738323&hl=en&as_sdt=0,31 | 2 | 2,022 |
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation | 47 | cvpr | 9 | 1 | 2023-06-03 15:13:11.366000 | https://github.com/yz93/lavt-ris | 124 | Lavt: Language-aware vision transformer for referring image segmentation | https://scholar.google.com/scholar?cluster=10996452673462236592&hl=en&as_sdt=0,14 | 3 | 2,022 |
Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring | 5 | cvpr | 33 | 9 | 2023-06-03 15:13:11.561000 | https://github.com/yizhiwang96/textlogolayout | 222 | Aesthetic text logo synthesis via content-aware layout inferring | https://scholar.google.com/scholar?cluster=9299651509951295587&hl=en&as_sdt=0,5 | 7 | 2,022 |
Video Demoireing With Relation-Based Temporal Consistency | 3 | cvpr | 10 | 3 | 2023-06-03 15:13:11.755000 | https://github.com/CVMI-Lab/VideoDemoireing | 57 | Video Demoireing With Relation-Based Temporal Consistency | https://scholar.google.com/scholar?cluster=14408025049447784264&hl=en&as_sdt=0,10 | 2 | 2,022 |
Oriented RepPoints for Aerial Object Detection | 62 | cvpr | 43 | 28 | 2023-06-03 15:13:11.949000 | https://github.com/LiWentomng/OrientedRepPoints | 229 | Oriented reppoints for aerial object detection | https://scholar.google.com/scholar?cluster=1528825781662204302&hl=en&as_sdt=0,5 | 5 | 2,022 |
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning | 29 | cvpr | 3 | 9 | 2023-06-03 15:13:12.144000 | https://github.com/shiming-chen/msdn | 44 | Msdn: Mutually semantic distillation network for zero-shot learning | https://scholar.google.com/scholar?cluster=15021999470702813013&hl=en&as_sdt=0,39 | 4 | 2,022 |
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video | 41 | cvpr | 8 | 22 | 2023-06-03 15:13:12.338000 | https://github.com/JinluZhang1126/MixSTE | 126 | Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video | https://scholar.google.com/scholar?cluster=10669263595390628750&hl=en&as_sdt=0,22 | 20 | 2,022 |
OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data | 4 | cvpr | 5 | 1 | 2023-06-03 15:13:12.532000 | https://github.com/dschinagl/occam | 31 | OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data | https://scholar.google.com/scholar?cluster=15765380783034039691&hl=en&as_sdt=0,15 | 3 | 2,022 |
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph | 11 | cvpr | 0 | 2 | 2023-06-03 15:13:12.739000 | https://github.com/changcaiyang/ms2dg-net | 3 | MS2DG-Net: Progressive correspondence learning via multiple sparse semantics dynamic graph | https://scholar.google.com/scholar?cluster=946237664573591912&hl=en&as_sdt=0,40 | 1 | 2,022 |
DeepCurrents: Learning Implicit Representations of Shapes With Boundaries | 3 | cvpr | 2 | 0 | 2023-06-03 15:13:12.933000 | https://github.com/dmsm/DeepCurrents | 39 | DeepCurrents: Learning Implicit Representations of Shapes with Boundaries | https://scholar.google.com/scholar?cluster=5989790284022450801&hl=en&as_sdt=0,44 | 4 | 2,022 |
Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion | 48 | cvpr | 31 | 29 | 2023-06-03 15:13:13.127000 | https://github.com/LittlePey/SFD | 221 | Sparse fuse dense: Towards high quality 3d detection with depth completion | https://scholar.google.com/scholar?cluster=4337309210814836516&hl=en&as_sdt=0,5 | 4 | 2,022 |
High-Fidelity GAN Inversion for Image Attribute Editing | 109 | cvpr | 44 | 10 | 2023-06-03 15:13:13.321000 | https://github.com/Tengfei-Wang/HFGI | 405 | High-fidelity gan inversion for image attribute editing | https://scholar.google.com/scholar?cluster=9509221732364572204&hl=en&as_sdt=0,36 | 32 | 2,022 |
Meta Distribution Alignment for Generalizable Person Re-Identification | 7 | cvpr | 2 | 1 | 2023-06-03 15:13:13.516000 | https://github.com/haoni0812/mda | 12 | Meta distribution alignment for generalizable person re-identification | https://scholar.google.com/scholar?cluster=11619394144328926429&hl=en&as_sdt=0,33 | 5 | 2,022 |
MaskGIT: Masked Generative Image Transformer | 95 | cvpr | 33 | 9 | 2023-06-03 15:13:13.710000 | https://github.com/google-research/maskgit | 267 | Maskgit: Masked generative image transformer | https://scholar.google.com/scholar?cluster=6249368678331828868&hl=en&as_sdt=0,5 | 15 | 2,022 |
Instance-Aware Dynamic Neural Network Quantization | 3 | cvpr | 131 | 3 | 2023-06-03 15:13:13.904000 | https://github.com/huawei-noah/Efficient-Computing | 593 | Instance-aware dynamic neural network quantization | https://scholar.google.com/scholar?cluster=3797816427904047286&hl=en&as_sdt=0,33 | 18 | 2,022 |
All-in-One Image Restoration for Unknown Corruption | 40 | cvpr | 12 | 4 | 2023-06-03 15:13:14.099000 | https://github.com/xlearning-scu/2022-cvpr-airnet | 83 | All-in-one image restoration for unknown corruption | https://scholar.google.com/scholar?cluster=10807347079650485654&hl=en&as_sdt=0,5 | 2 | 2,022 |
Selective-Supervised Contrastive Learning With Noisy Labels | 39 | cvpr | 13 | 5 | 2023-06-03 15:13:14.293000 | https://github.com/shikunli/sel-cl | 74 | Selective-supervised contrastive learning with noisy labels | https://scholar.google.com/scholar?cluster=7191762310287055252&hl=en&as_sdt=0,5 | 2 | 2,022 |
Optimizing Video Prediction via Video Frame Interpolation | 9 | cvpr | 6 | 0 | 2023-06-03 15:13:14.492000 | https://github.com/YueWuHKUST/CVPR2022-Optimizing-Video-Prediction-via-Video-Frame-Interpolation | 34 | Optimizing video prediction via video frame interpolation | https://scholar.google.com/scholar?cluster=12432696605609230243&hl=en&as_sdt=0,5 | 2 | 2,022 |
Plenoxels: Radiance Fields Without Neural Networks | 176 | cvpr | 335 | 74 | 2023-06-03 15:13:14.686000 | https://github.com/sxyu/svox2 | 2,517 | Plenoxels: Radiance fields without neural networks | https://scholar.google.com/scholar?cluster=6850809471978145917&hl=en&as_sdt=0,5 | 52 | 2,022 |
SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation | 8 | cvpr | 6 | 1 | 2023-06-03 15:13:14.880000 | https://github.com/cityu-aim-group/simt | 20 | Simt: handling open-set noise for domain adaptive semantic segmentation | https://scholar.google.com/scholar?cluster=9175191664302585452&hl=en&as_sdt=0,1 | 2 | 2,022 |
Exploring Effective Data for Surrogate Training Towards Black-Box Attack | 9 | cvpr | 1 | 1 | 2023-06-03 15:13:15.074000 | https://github.com/xuxiangsun/st-data | 10 | Exploring effective data for surrogate training towards black-box attack | https://scholar.google.com/scholar?cluster=17446865475002756909&hl=en&as_sdt=0,19 | 2 | 2,022 |
Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture | 4 | cvpr | 0 | 0 | 2023-06-03 15:13:15.269000 | https://github.com/chzhang18/rag | 7 | Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture | https://scholar.google.com/scholar?cluster=13199977113410529761&hl=en&as_sdt=0,44 | 1 | 2,022 |
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions | 3 | cvpr | 0 | 0 | 2023-06-03 15:13:15.463000 | https://github.com/rkjones4/plad | 4 | PLAD: Learning to infer shape programs with pseudo-labels and approximate distributions | https://scholar.google.com/scholar?cluster=2527616327110809598&hl=en&as_sdt=0,5 | 2 | 2,022 |
C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation | 23 | cvpr | 12 | 5 | 2023-06-03 15:13:15.659000 | https://github.com/cvi-szu/ccam | 137 | C2AM: contrastive learning of class-agnostic activation map for weakly supervised object localization and semantic segmentation | https://scholar.google.com/scholar?cluster=4112010978532867161&hl=en&as_sdt=0,5 | 5 | 2,022 |
PTTR: Relational 3D Point Cloud Object Tracking With Transformer | 34 | cvpr | 8 | 11 | 2023-06-03 15:13:15.853000 | https://github.com/jasonkks/pttr | 98 | Pttr: Relational 3d point cloud object tracking with transformer | https://scholar.google.com/scholar?cluster=6998636134614144247&hl=en&as_sdt=0,33 | 8 | 2,022 |
A Self-Supervised Descriptor for Image Copy Detection | 10 | cvpr | 10 | 1 | 2023-06-03 15:13:16.047000 | https://github.com/facebookresearch/sscd-copy-detection | 121 | A self-supervised descriptor for image copy detection | https://scholar.google.com/scholar?cluster=7715635298413748060&hl=en&as_sdt=0,31 | 6 | 2,022 |
Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation | 2 | cvpr | 6 | 4 | 2023-06-03 15:13:16.241000 | https://github.com/jcyang98/inst | 39 | Industrial style transfer with large-scale geometric warping and content preservation | https://scholar.google.com/scholar?cluster=802240836888971183&hl=en&as_sdt=0,10 | 3 | 2,022 |
Modeling Image Composition for Complex Scene Generation | 18 | cvpr | 0 | 5 | 2023-06-03 15:13:16.436000 | https://github.com/johndreamer/twfa | 7 | Modeling image composition for complex scene generation | https://scholar.google.com/scholar?cluster=16853523309090667212&hl=en&as_sdt=0,5 | 1 | 2,022 |
Negative-Aware Attention Framework for Image-Text Matching | 28 | cvpr | 8 | 6 | 2023-06-03 15:13:16.630000 | https://github.com/crossmodalgroup/naaf | 74 | Negative-aware attention framework for image-text matching | https://scholar.google.com/scholar?cluster=17580877734718681453&hl=en&as_sdt=0,34 | 1 | 2,022 |
On the Importance of Asymmetry for Siamese Representation Learning | 22 | cvpr | 5 | 0 | 2023-06-03 15:13:16.824000 | https://github.com/facebookresearch/asym-siam | 90 | On the importance of asymmetry for siamese representation learning | https://scholar.google.com/scholar?cluster=11575843394769845742&hl=en&as_sdt=0,23 | 10 | 2,022 |
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention | 1 | cvpr | 0 | 0 | 2023-06-03 15:13:17.019000 | https://github.com/wiedersehne/paramixer | 16 | Paramixer: Parameterizing mixing links in sparse factors works better than dot-product self-attention | https://scholar.google.com/scholar?cluster=4581359001664044296&hl=en&as_sdt=0,3 | 2 | 2,022 |
An Image Patch Is a Wave: Phase-Aware Vision MLP | 44 | cvpr | 648 | 59 | 2023-06-03 15:13:17.213000 | https://github.com/huawei-noah/CV-backbones | 3,301 | An image patch is a wave: Phase-aware vision mlp | https://scholar.google.com/scholar?cluster=7355726372164978103&hl=en&as_sdt=0,44 | 47 | 2,022 |
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving | 18 | cvpr | 11 | 3 | 2023-06-03 15:13:17.408000 | https://github.com/revisitq/Pseudo-Stereo-3D | 65 | Pseudo-stereo for monocular 3d object detection in autonomous driving | https://scholar.google.com/scholar?cluster=1891144391570964122&hl=en&as_sdt=0,23 | 8 | 2,022 |
Shunted Self-Attention via Multi-Scale Token Aggregation | 54 | cvpr | 20 | 20 | 2023-06-03 15:13:17.601000 | https://github.com/oliverrensu/shunted-transformer | 184 | Shunted self-attention via multi-scale token aggregation | https://scholar.google.com/scholar?cluster=8471894567270514506&hl=en&as_sdt=0,5 | 5 | 2,022 |
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting | 144 | cvpr | 26 | 4 | 2023-06-03 15:13:17.796000 | https://github.com/raoyongming/denseclip | 392 | Denseclip: Language-guided dense prediction with context-aware prompting | https://scholar.google.com/scholar?cluster=12719486318898360519&hl=en&as_sdt=0,5 | 3 | 2,022 |
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions | 17 | cvpr | 10 | 3 | 2023-06-03 15:13:17.990000 | https://github.com/nv-nguyen/template-pose | 107 | Templates for 3D object pose estimation revisited: generalization to new objects and robustness to occlusions | https://scholar.google.com/scholar?cluster=474175578152573031&hl=en&as_sdt=0,5 | 4 | 2,022 |
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon | 37 | cvpr | 3 | 4 | 2023-06-03 15:13:18.184000 | https://github.com/hncszyq/ShadowAttack | 39 | Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phenomenon | https://scholar.google.com/scholar?cluster=363481114525663897&hl=en&as_sdt=0,34 | 1 | 2,022 |
Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval | 23 | cvpr | 0 | 1 | 2023-06-03 15:13:18.379000 | https://github.com/ayankumarbhunia/stroke_subset_selector-for-fgsbir | 9 | Sketching without worrying: Noise-tolerant sketch-based image retrieval | https://scholar.google.com/scholar?cluster=1549676145286684211&hl=en&as_sdt=0,31 | 1 | 2,022 |
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning | 16 | cvpr | 3 | 1 | 2023-06-03 15:13:18.574000 | https://github.com/explainableml/nonisotropicproxydml | 12 | Non-isotropy regularization for proxy-based deep metric learning | https://scholar.google.com/scholar?cluster=18444841473840429929&hl=en&as_sdt=0,33 | 4 | 2,022 |
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors | 7 | cvpr | 3 | 4 | 2023-06-03 15:13:18.768000 | https://github.com/naver/pump | 31 | PUMP: Pyramidal and uniqueness matching priors for unsupervised learning of local descriptors | https://scholar.google.com/scholar?cluster=8551941411438314539&hl=en&as_sdt=0,47 | 4 | 2,022 |
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition | 5 | cvpr | 3 | 0 | 2023-06-03 15:13:18.962000 | https://github.com/damo-cv/motionrgbd | 11 | Decoupling and recoupling spatiotemporal representation for RGB-D-based motion recognition | https://scholar.google.com/scholar?cluster=6391796257286266845&hl=en&as_sdt=0,39 | 0 | 2,022 |
Deep Equilibrium Optical Flow Estimation | 20 | cvpr | 17 | 0 | 2023-06-03 15:13:19.158000 | https://github.com/locuslab/deq-flow | 155 | Deep equilibrium optical flow estimation | https://scholar.google.com/scholar?cluster=4481040450726038983&hl=en&as_sdt=0,33 | 8 | 2,022 |
Few-Shot Learning With Noisy Labels | 11 | cvpr | 1 | 0 | 2023-06-03 15:13:19.352000 | https://github.com/facebookresearch/noisy_few_shot | 30 | Few-shot learning with noisy labels | https://scholar.google.com/scholar?cluster=17809989091527759685&hl=en&as_sdt=0,33 | 5 | 2,022 |
Interactive Image Synthesis With Panoptic Layout Generation | 5 | cvpr | 1 | 4 | 2023-06-03 15:13:19.551000 | https://github.com/wb-finalking/PLGAN | 16 | Interactive Image Synthesis with Panoptic Layout Generation | https://scholar.google.com/scholar?cluster=2666875388917869100&hl=en&as_sdt=0,24 | 3 | 2,022 |
Attribute Group Editing for Reliable Few-Shot Image Generation | 7 | cvpr | 8 | 8 | 2023-06-03 15:13:19.745000 | https://github.com/unibester/age | 48 | Attribute Group Editing for Reliable Few-shot Image Generation | https://scholar.google.com/scholar?cluster=12878484213141116778&hl=en&as_sdt=0,5 | 3 | 2,022 |
PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos | 6 | cvpr | 8 | 4 | 2023-06-03 15:13:19.940000 | https://github.com/neu-vi/PlanarRecon | 232 | PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos | https://scholar.google.com/scholar?cluster=11352550170511398324&hl=en&as_sdt=0,5 | 11 | 2,022 |
Local Texture Estimator for Implicit Representation Function | 37 | cvpr | 28 | 0 | 2023-06-03 15:13:20.134000 | https://github.com/jaewon-lee-b/lte | 120 | Local texture estimator for implicit representation function | https://scholar.google.com/scholar?cluster=15673761794145810552&hl=en&as_sdt=0,3 | 4 | 2,022 |
Motron: Multimodal Probabilistic Human Motion Forecasting | 7 | cvpr | 0 | 0 | 2023-06-03 15:13:20.329000 | https://github.com/TUM-AAS/motron-cvpr22 | 12 | Motron: Multimodal probabilistic human motion forecasting | https://scholar.google.com/scholar?cluster=5600714986446944153&hl=en&as_sdt=0,39 | 1 | 2,022 |
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond | 4 | cvpr | 0 | 1 | 2023-06-03 15:13:20.523000 | https://github.com/thinklab-sjtu/robustmatch | 12 | Appearance and structure aware robust deep visual graph matching: Attack, defense and beyond | https://scholar.google.com/scholar?cluster=10410063998921365943&hl=en&as_sdt=0,44 | 2 | 2,022 |
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression | 16 | cvpr | 10 | 3 | 2023-06-03 15:13:20.717000 | https://github.com/xiaosu-zhu/McQuic | 82 | Unified multivariate gaussian mixture for efficient neural image compression | https://scholar.google.com/scholar?cluster=12208152737463536401&hl=en&as_sdt=0,44 | 1 | 2,022 |
Feature Statistics Mixing Regularization for Generative Adversarial Networks | 9 | cvpr | 3 | 2 | 2023-06-03 15:13:20.912000 | https://github.com/naver-ai/fsmr | 48 | Feature statistics mixing regularization for generative adversarial networks | https://scholar.google.com/scholar?cluster=3178196947805198698&hl=en&as_sdt=0,5 | 3 | 2,022 |
Many-to-Many Splatting for Efficient Video Frame Interpolation | 24 | cvpr | 6 | 0 | 2023-06-03 15:13:21.106000 | https://github.com/feinanshan/m2m_vfi | 74 | Many-to-many splatting for efficient video frame interpolation | https://scholar.google.com/scholar?cluster=9061197896951531138&hl=en&as_sdt=0,5 | 5 | 2,022 |
RCP: Recurrent Closest Point for Point Cloud | 10 | cvpr | 0 | 1 | 2023-06-03 15:13:21.301000 | https://github.com/gxd1994/rcp | 9 | RCP: recurrent closest point for point cloud | https://scholar.google.com/scholar?cluster=6174376460507552089&hl=en&as_sdt=0,23 | 3 | 2,022 |
Geometric and Textural Augmentation for Domain Gap Reduction | 6 | cvpr | 0 | 2 | 2023-06-03 15:13:21.500000 | https://github.com/xch-liu/geom-tex-dg | 7 | Geometric and Textural Augmentation for Domain Gap Reduction | https://scholar.google.com/scholar?cluster=9960592049133533503&hl=en&as_sdt=0,5 | 1 | 2,022 |
Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning | 7 | cvpr | 2 | 0 | 2023-06-03 15:13:21.694000 | https://github.com/sbasu276/GBCNet | 12 | Surpassing the human accuracy: detecting gallbladder cancer from USG images with curriculum learning | https://scholar.google.com/scholar?cluster=11123929537083945888&hl=en&as_sdt=0,33 | 2 | 2,022 |
A Dual Weighting Label Assignment Scheme for Object Detection | 31 | cvpr | 16 | 12 | 2023-06-03 15:13:21.888000 | https://github.com/strongwolf/dw | 131 | A dual weighting label assignment scheme for object detection | https://scholar.google.com/scholar?cluster=2484140027818923745&hl=en&as_sdt=0,5 | 5 | 2,022 |
A Keypoint-Based Global Association Network for Lane Detection | 16 | cvpr | 25 | 20 | 2023-06-03 15:13:22.083000 | https://github.com/wolfwjs/ganet | 174 | A keypoint-based global association network for lane detection | https://scholar.google.com/scholar?cluster=5359779095767820120&hl=en&as_sdt=0,5 | 8 | 2,022 |
Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model | 19 | cvpr | 11 | 8 | 2023-06-03 15:13:22.278000 | https://github.com/fingerk28/two-stage-knowledge-for-multiple-adverse-weather-removal | 98 | Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model | https://scholar.google.com/scholar?cluster=6389162819004784674&hl=en&as_sdt=0,5 | 3 | 2,022 |
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | 19 | cvpr | 17 | 2 | 2023-06-03 15:13:22.474000 | https://github.com/htdt/hyp_metric | 132 | Hyperbolic vision transformers: Combining improvements in metric learning | https://scholar.google.com/scholar?cluster=11949602207830740830&hl=en&as_sdt=0,15 | 7 | 2,022 |
L-Verse: Bidirectional Generation Between Image and Text | 10 | cvpr | 4 | 1 | 2023-06-03 15:13:22.668000 | https://github.com/tgisaturday/L-Verse | 105 | L-verse: Bidirectional generation between image and text | https://scholar.google.com/scholar?cluster=1289245814456922276&hl=en&as_sdt=0,34 | 11 | 2,022 |
Attributable Visual Similarity Learning | 5 | cvpr | 5 | 0 | 2023-06-03 15:13:22.863000 | https://github.com/zbr17/avsl | 29 | Attributable visual similarity learning | https://scholar.google.com/scholar?cluster=1504278305019128751&hl=en&as_sdt=0,15 | 2 | 2,022 |
Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection | 37 | cvpr | 15 | 9 | 2023-06-03 15:13:23.057000 | https://github.com/liangchen527/sladd | 94 | Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection | https://scholar.google.com/scholar?cluster=12729341217248980339&hl=en&as_sdt=0,5 | 6 | 2,022 |
DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion | 82 | cvpr | 18 | 4 | 2023-06-03 15:13:23.262000 | https://github.com/arthurdouillard/dytox | 111 | Dytox: Transformers for continual learning with dynamic token expansion | https://scholar.google.com/scholar?cluster=14790667600152766666&hl=en&as_sdt=0,5 | 3 | 2,022 |
PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation | 3 | cvpr | 4 | 5 | 2023-06-03 15:13:23.457000 | https://github.com/naiyugao/panopticdepth | 94 | Panopticdepth: A unified framework for depth-aware panoptic segmentation | https://scholar.google.com/scholar?cluster=6001282028310546811&hl=en&as_sdt=0,5 | 4 | 2,022 |
Cross-Image Relational Knowledge Distillation for Semantic Segmentation | 36 | cvpr | 16 | 2 | 2023-06-03 15:13:23.651000 | https://github.com/winycg/cirkd | 112 | Cross-image relational knowledge distillation for semantic segmentation | https://scholar.google.com/scholar?cluster=7831509579630976373&hl=en&as_sdt=0,5 | 4 | 2,022 |
3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow | 16 | cvpr | 4 | 0 | 2023-06-03 15:13:23.846000 | https://github.com/junshengzhou/3dattriflow | 39 | 3D shape reconstruction from 2D images with disentangled attribute flow | https://scholar.google.com/scholar?cluster=1789674502219608049&hl=en&as_sdt=0,5 | 6 | 2,022 |
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning | 6 | cvpr | 1 | 0 | 2023-06-03 15:13:24.040000 | https://github.com/mgwillia/unsupervised-analysis | 8 | Beyond supervised vs. unsupervised: Representative benchmarking and analysis of image representation learning | https://scholar.google.com/scholar?cluster=16835846862649846537&hl=en&as_sdt=0,33 | 2 | 2,022 |
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification | 3 | cvpr | 2 | 2 | 2023-06-03 15:13:24.242000 | https://github.com/ftd-wuchao/ccsfg | 8 | Camera-conditioned stable feature generation for isolated camera supervised person re-identification | https://scholar.google.com/scholar?cluster=16513446344988595603&hl=en&as_sdt=0,5 | 2 | 2,022 |
OpenTAL: Towards Open Set Temporal Action Localization | 11 | cvpr | 1 | 1 | 2023-06-03 15:13:24.437000 | https://github.com/Cogito2012/OpenTAL | 42 | Opental: Towards open set temporal action localization | https://scholar.google.com/scholar?cluster=15497847232638129233&hl=en&as_sdt=0,5 | 4 | 2,022 |
Discrete Time Convolution for Fast Event-Based Stereo | 7 | cvpr | 0 | 2 | 2023-06-03 15:13:24.632000 | https://github.com/Huawei-BIC/Discrete_Time_Convolution_for_Fast_Event_Based_Stereo | 5 | Discrete time convolution for fast event-based stereo | https://scholar.google.com/scholar?cluster=10132978278685091738&hl=en&as_sdt=0,33 | 1 | 2,022 |
Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data | 23 | cvpr | 7 | 5 | 2023-06-03 15:13:24.826000 | https://github.com/naver-ai/w-ood | 79 | Weakly supervised semantic segmentation using out-of-distribution data | https://scholar.google.com/scholar?cluster=10517312123859447200&hl=en&as_sdt=0,14 | 7 | 2,022 |
Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning | 19 | cvpr | 3 | 4 | 2023-06-03 15:13:25.020000 | https://github.com/yangli18/vltvg | 72 | Improving visual grounding with visual-linguistic verification and iterative reasoning | https://scholar.google.com/scholar?cluster=11859415308292435573&hl=en&as_sdt=0,5 | 2 | 2,022 |
Point-Level Region Contrast for Object Detection Pre-Training | 21 | cvpr | 2 | 0 | 2023-06-03 15:13:25.214000 | https://github.com/facebookresearch/PLRC | 31 | Point-level region contrast for object detection pre-training | https://scholar.google.com/scholar?cluster=8481021928568633762&hl=en&as_sdt=0,5 | 4 | 2,022 |
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation | 77 | cvpr | 28 | 2 | 2023-06-03 15:13:25.409000 | https://github.com/LiheYoung/ST-PlusPlus | 184 | St++: Make self-training work better for semi-supervised semantic segmentation | https://scholar.google.com/scholar?cluster=9712954716609052596&hl=en&as_sdt=0,47 | 5 | 2,022 |
VisualHow: Multimodal Problem Solving | 0 | cvpr | 1 | 0 | 2023-06-03 15:13:25.602000 | https://github.com/formidify/visualhow | 4 | VisualHow: Multimodal Problem Solving | https://scholar.google.com/scholar?cluster=18023386925378797214&hl=en&as_sdt=0,5 | 2 | 2,022 |
Interacting Attention Graph for Single Image Two-Hand Reconstruction | 32 | cvpr | 25 | 14 | 2023-06-03 15:13:25.797000 | https://github.com/dw1010/intaghand | 217 | Interacting attention graph for single image two-hand reconstruction | https://scholar.google.com/scholar?cluster=279346595374704806&hl=en&as_sdt=0,5 | 15 | 2,022 |
OSSGAN: Open-Set Semi-Supervised Image Generation | 0 | cvpr | 4 | 1 | 2023-06-03 15:13:25.991000 | https://github.com/raven38/ossgan | 20 | OSSGAN: Open-Set Semi-Supervised Image Generation | https://scholar.google.com/scholar?cluster=16258493984926978217&hl=en&as_sdt=0,5 | 1 | 2,022 |
Failure Modes of Domain Generalization Algorithms | 7 | cvpr | 1 | 0 | 2023-06-03 15:13:26.185000 | https://github.com/tigrangalstyan/wilds | 0 | Failure modes of domain generalization algorithms | https://scholar.google.com/scholar?cluster=3035832448773782127&hl=en&as_sdt=0,5 | 0 | 2,022 |
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes | 4 | cvpr | 0 | 0 | 2023-06-03 15:13:26.380000 | https://github.com/justones/irp | 7 | Exploring and evaluating image restoration potential in dynamic scenes | https://scholar.google.com/scholar?cluster=3069214283886555277&hl=en&as_sdt=0,5 | 2 | 2,022 |
Lite Vision Transformer With Enhanced Self-Attention | 34 | cvpr | 9 | 5 | 2023-06-03 15:13:26.574000 | https://github.com/chenglin-yang/lvt | 110 | Lite vision transformer with enhanced self-attention | https://scholar.google.com/scholar?cluster=1596143178819191608&hl=en&as_sdt=0,47 | 3 | 2,022 |
TrackFormer: Multi-Object Tracking With Transformers | 352 | cvpr | 83 | 46 | 2023-06-03 15:13:26.769000 | https://github.com/timmeinhardt/trackformer | 384 | Trackformer: Multi-object tracking with transformers | https://scholar.google.com/scholar?cluster=11460907858590036405&hl=en&as_sdt=0,43 | 13 | 2,022 |
Learning To Learn and Remember Super Long Multi-Domain Task Sequence | 7 | cvpr | 0 | 0 | 2023-06-03 15:13:26.963000 | https://github.com/joey-wang123/sdml | 10 | Learning to learn and remember super long multi-domain task sequence | https://scholar.google.com/scholar?cluster=11670835409632826627&hl=en&as_sdt=0,44 | 1 | 2,022 |
Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation | 37 | cvpr | 13 | 1 | 2023-06-03 15:13:27.158000 | https://github.com/jamycheung/trans4pass | 49 | Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation | https://scholar.google.com/scholar?cluster=15501859390969545209&hl=en&as_sdt=0,5 | 7 | 2,022 |
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation | 19 | cvpr | 5 | 1 | 2023-06-03 15:13:27.361000 | https://github.com/danielism97/st-mfnet | 36 | St-mfnet: A spatio-temporal multi-flow network for frame interpolation | https://scholar.google.com/scholar?cluster=3349947361370227342&hl=en&as_sdt=0,5 | 5 | 2,022 |
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning | 0 | cvpr | 0 | 0 | 2023-06-03 15:13:27.555000 | https://github.com/transmuteai/metadock | 4 | Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning | https://scholar.google.com/scholar?cluster=2138648671125260639&hl=en&as_sdt=0,5 | 0 | 2,022 |
Decoupled Knowledge Distillation | 117 | cvpr | 95 | 5 | 2023-06-03 15:13:27.749000 | https://github.com/megvii-research/mdistiller | 556 | Decoupled knowledge distillation | https://scholar.google.com/scholar?cluster=6183306406495914013&hl=en&as_sdt=0,7 | 6 | 2,022 |
A Sampling-Based Approach for Efficient Clustering in Large Datasets | 1 | cvpr | 1 | 0 | 2023-06-03 15:13:27.944000 | https://github.com/ooub/peregrine | 1 | A sampling-based approach for efficient clustering in large datasets | https://scholar.google.com/scholar?cluster=16296683083413569384&hl=en&as_sdt=0,33 | 1 | 2,022 |
Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors | 18 | cvpr | 25 | 2 | 2023-06-03 15:13:28.138000 | https://github.com/mabaorui/onsurfaceprior | 171 | Reconstructing surfaces for sparse point clouds with on-surface priors | https://scholar.google.com/scholar?cluster=4032557461331246649&hl=en&as_sdt=0,14 | 11 | 2,022 |
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches | 1 | cvpr | 3 | 1 | 2023-06-03 15:13:28.333000 | https://github.com/sammica/simsac | 17 | Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches | https://scholar.google.com/scholar?cluster=12745082851017557261&hl=en&as_sdt=0,10 | 5 | 2,022 |
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