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|---|---|---|---|---|---|---|---|---|---|---|---|
Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening
| 11
|
cvpr
| 1
| 0
|
2023-06-03 15:12:10.531000
|
https://github.com/yggame/mdcun
| 7
|
Memory-augmented deep conditional unfolding network for pan-sharpening
|
https://scholar.google.com/scholar?cluster=797504698814434691&hl=en&as_sdt=0,5
| 1
| 2,022
|
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
| 19
|
cvpr
| 10
| 0
|
2023-06-03 15:12:10.725000
|
https://github.com/zhuohangli/ggl
| 33
|
Auditing privacy defenses in federated learning via generative gradient leakage
|
https://scholar.google.com/scholar?cluster=8227785622283493262&hl=en&as_sdt=0,10
| 4
| 2,022
|
Certified Patch Robustness via Smoothed Vision Transformers
| 31
|
cvpr
| 4
| 0
|
2023-06-03 15:12:10.920000
|
https://github.com/madrylab/smoothed-vit
| 37
|
Certified patch robustness via smoothed vision transformers
|
https://scholar.google.com/scholar?cluster=8940759754720060702&hl=en&as_sdt=0,35
| 8
| 2,022
|
RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution
| 21
|
cvpr
| 17
| 6
|
2023-06-03 15:12:11.114000
|
https://github.com/llmpass/RSTT
| 98
|
Rstt: Real-time spatial temporal transformer for space-time video super-resolution
|
https://scholar.google.com/scholar?cluster=832312865512185750&hl=en&as_sdt=0,5
| 3
| 2,022
|
Large-Scale Pre-Training for Person Re-Identification With Noisy Labels
| 9
|
cvpr
| 6
| 4
|
2023-06-03 15:12:11.308000
|
https://github.com/dengpanfu/luperson-nl
| 51
|
Large-scale pre-training for person re-identification with noisy labels
|
https://scholar.google.com/scholar?cluster=16484480159530632998&hl=en&as_sdt=0,5
| 4
| 2,022
|
Task Discrepancy Maximization for Fine-Grained Few-Shot Classification
| 6
|
cvpr
| 5
| 0
|
2023-06-03 15:12:11.502000
|
https://github.com/leesb7426/cvpr2022-task-discrepancy-maximization-for-fine-grained-few-shot-classification
| 22
|
Task discrepancy maximization for fine-grained few-shot classification
|
https://scholar.google.com/scholar?cluster=17653340683364988907&hl=en&as_sdt=0,33
| 2
| 2,022
|
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
| 13
|
cvpr
| 2
| 2
|
2023-06-03 15:12:11.697000
|
https://github.com/vita-group/diverse-vit
| 18
|
The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy
|
https://scholar.google.com/scholar?cluster=3780615921970982956&hl=en&as_sdt=0,14
| 7
| 2,022
|
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
| 25
|
cvpr
| 5
| 3
|
2023-06-03 15:12:11.891000
|
https://github.com/ZacharyWang-007/FED-Occluded-ReID
| 28
|
Feature erasing and diffusion network for occluded person re-identification
|
https://scholar.google.com/scholar?cluster=2126509024889842797&hl=en&as_sdt=0,5
| 2
| 2,022
|
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction
| 37
|
cvpr
| 12
| 3
|
2023-06-03 15:12:12.096000
|
https://github.com/gaoliang13/feddc
| 55
|
Feddc: Federated learning with non-iid data via local drift decoupling and correction
|
https://scholar.google.com/scholar?cluster=7952817299548197443&hl=en&as_sdt=0,33
| 2
| 2,022
|
Active Learning by Feature Mixing
| 17
|
cvpr
| 10
| 5
|
2023-06-03 15:12:12.290000
|
https://github.com/aminparvaneh/alpha_mix_active_learning
| 65
|
Active learning by feature mixing
|
https://scholar.google.com/scholar?cluster=6445697373568669972&hl=en&as_sdt=0,11
| 1
| 2,022
|
Partial Class Activation Attention for Semantic Segmentation
| 10
|
cvpr
| 2
| 3
|
2023-06-03 15:12:12.485000
|
https://github.com/lsa1997/pcaa
| 29
|
Partial Class Activation Attention for Semantic Segmentation
|
https://scholar.google.com/scholar?cluster=13925216483993369069&hl=en&as_sdt=0,33
| 1
| 2,022
|
Semantic Segmentation by Early Region Proxy
| 9
|
cvpr
| 3
| 6
|
2023-06-03 15:12:12.680000
|
https://github.com/yif-zhang/regionproxy
| 60
|
Semantic segmentation by early region proxy
|
https://scholar.google.com/scholar?cluster=8801540507147368813&hl=en&as_sdt=0,47
| 1
| 2,022
|
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
| 33
|
cvpr
| 103
| 18
|
2023-06-03 15:12:12.875000
|
https://github.com/cardwing/codes-for-pvkd
| 424
|
Point-to-voxel knowledge distillation for lidar semantic segmentation
|
https://scholar.google.com/scholar?cluster=16004793191083746672&hl=en&as_sdt=0,5
| 39
| 2,022
|
Class-Aware Contrastive Semi-Supervised Learning
| 32
|
cvpr
| 12
| 4
|
2023-06-03 15:12:13.069000
|
https://github.com/tencentyouturesearch/classification-semicls
| 72
|
Class-aware contrastive semi-supervised learning
|
https://scholar.google.com/scholar?cluster=4852221294569160326&hl=en&as_sdt=0,33
| 4
| 2,022
|
Debiased Learning From Naturally Imbalanced Pseudo-Labels
| 19
|
cvpr
| 4
| 1
|
2023-06-03 15:12:13.271000
|
https://github.com/frank-xwang/debiased-pseudo-labeling
| 75
|
Debiased learning from naturally imbalanced pseudo-labels
|
https://scholar.google.com/scholar?cluster=14652156265549585566&hl=en&as_sdt=0,33
| 3
| 2,022
|
RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization
| 23
|
cvpr
| 12
| 4
|
2023-06-03 15:12:13.490000
|
https://github.com/decayale/rnnpose
| 93
|
RNNPose: Recurrent 6-DoF object pose refinement with robust correspondence field estimation and pose optimization
|
https://scholar.google.com/scholar?cluster=10937328809991428101&hl=en&as_sdt=0,10
| 7
| 2,022
|
Conditional Prompt Learning for Vision-Language Models
| 219
|
cvpr
| 109
| 39
|
2023-06-03 15:12:13.683000
|
https://github.com/kaiyangzhou/coop
| 943
|
Conditional prompt learning for vision-language models
|
https://scholar.google.com/scholar?cluster=737352693355482724&hl=en&as_sdt=0,14
| 16
| 2,022
|
Towards Efficient Data Free Black-Box Adversarial Attack
| 17
|
cvpr
| 2
| 4
|
2023-06-03 15:12:13.877000
|
https://github.com/jhjiezhang/Data-Free-Transfer-Attack
| 10
|
Towards efficient data free black-box adversarial attack
|
https://scholar.google.com/scholar?cluster=15067901193060387901&hl=en&as_sdt=0,5
| 1
| 2,022
|
Affine Medical Image Registration With Coarse-To-Fine Vision Transformer
| 13
|
cvpr
| 3
| 0
|
2023-06-03 15:12:14.071000
|
https://github.com/cwmok/C2FViT
| 86
|
Affine medical image registration with coarse-to-fine vision transformer
|
https://scholar.google.com/scholar?cluster=10120158526622203013&hl=en&as_sdt=0,33
| 2
| 2,022
|
LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition
| 2
|
cvpr
| 0
| 0
|
2023-06-03 15:12:14.277000
|
https://github.com/diananini/ld-congr-cvpr2022
| 13
|
LD-ConGR: A large RGB-D video dataset for long-distance continuous gesture recognition
|
https://scholar.google.com/scholar?cluster=4555687839329941537&hl=en&as_sdt=0,44
| 2
| 2,022
|
Depth-Supervised NeRF: Fewer Views and Faster Training for Free
| 234
|
cvpr
| 107
| 58
|
2023-06-03 15:12:14.476000
|
https://github.com/dunbar12138/DSNeRF
| 608
|
Depth-supervised nerf: Fewer views and faster training for free
|
https://scholar.google.com/scholar?cluster=13165818652354577840&hl=en&as_sdt=0,5
| 17
| 2,022
|
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning
| 23
|
cvpr
| 1
| 0
|
2023-06-03 15:12:14.670000
|
https://github.com/allenhaozhu/ease
| 6
|
EASE: Unsupervised discriminant subspace learning for transductive few-shot learning
|
https://scholar.google.com/scholar?cluster=10528704964344248072&hl=en&as_sdt=0,33
| 2
| 2,022
|
A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift
| 2
|
cvpr
| 2
| 0
|
2023-06-03 15:12:14.864000
|
https://github.com/guoshi28/2stagealign
| 32
|
A differentiable two-stage alignment scheme for burst image reconstruction with large shift
|
https://scholar.google.com/scholar?cluster=9965757813907820626&hl=en&as_sdt=0,41
| 5
| 2,022
|
Thin-Plate Spline Motion Model for Image Animation
| 22
|
cvpr
| 398
| 54
|
2023-06-03 15:12:15.058000
|
https://github.com/yoyo-nb/thin-plate-spline-motion-model
| 2,347
|
Thin-plate spline motion model for image animation
|
https://scholar.google.com/scholar?cluster=17087395403195931350&hl=en&as_sdt=0,10
| 59
| 2,022
|
UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation
| 10
|
cvpr
| 15
| 6
|
2023-06-03 15:12:15.252000
|
https://github.com/voldemortX/DST-CBC
| 125
|
Ucc: Uncertainty guided cross-head co-training for semi-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=8607789258562041257&hl=en&as_sdt=0,5
| 5
| 2,022
|
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
| 25
|
cvpr
| 5
| 7
|
2023-06-03 15:12:15.447000
|
https://github.com/otaheri/GOAL
| 81
|
Goal: Generating 4d whole-body motion for hand-object grasping
|
https://scholar.google.com/scholar?cluster=8144375827903585464&hl=en&as_sdt=0,10
| 12
| 2,022
|
On the Road to Online Adaptation for Semantic Image Segmentation
| 8
|
cvpr
| 3
| 0
|
2023-06-03 15:12:15.640000
|
https://github.com/naver/oasis
| 18
|
On the road to online adaptation for semantic image segmentation
|
https://scholar.google.com/scholar?cluster=9925554197632369771&hl=en&as_sdt=0,5
| 5
| 2,022
|
Adversarial Texture for Fooling Person Detectors in the Physical World
| 26
|
cvpr
| 2
| 5
|
2023-06-03 15:12:15.834000
|
https://github.com/WhoTHU/Adversarial_Texture
| 35
|
Adversarial texture for fooling person detectors in the physical world
|
https://scholar.google.com/scholar?cluster=17634783504972477237&hl=en&as_sdt=0,33
| 1
| 2,022
|
Masked Autoencoders Are Scalable Vision Learners
| 2,008
|
cvpr
| 925
| 95
|
2023-06-03 15:12:16.028000
|
https://github.com/facebookresearch/mae
| 5,516
|
Masked autoencoders are scalable vision learners
|
https://scholar.google.com/scholar?cluster=16837829726140559426&hl=en&as_sdt=0,5
| 58
| 2,022
|
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
| 3
|
cvpr
| 1
| 1
|
2023-06-03 15:12:16.222000
|
https://github.com/theot1/fw-at-adapt
| 5
|
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
|
https://scholar.google.com/scholar?cluster=10641470324585550829&hl=en&as_sdt=0,33
| 1
| 2,022
|
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed
| 1
|
cvpr
| 1
| 0
|
2023-06-03 15:12:16.417000
|
https://github.com/studying910/TO-FLOW
| 2
|
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
|
https://scholar.google.com/scholar?cluster=12750283594068318928&hl=en&as_sdt=0,5
| 1
| 2,022
|
Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling
| 160
|
cvpr
| 43
| 17
|
2023-06-03 15:12:16.612000
|
https://github.com/lulutang0608/Point-BERT
| 375
|
Point-bert: Pre-training 3d point cloud transformers with masked point modeling
|
https://scholar.google.com/scholar?cluster=17327663970405370182&hl=en&as_sdt=0,39
| 8
| 2,022
|
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
| 2
|
cvpr
| 0
| 2
|
2023-06-03 15:12:16.806000
|
https://github.com/schellmi42/RADU
| 3
|
RADU: Ray-aligned depth update convolutions for ToF data denoising
|
https://scholar.google.com/scholar?cluster=174828791614676296&hl=en&as_sdt=0,10
| 1
| 2,022
|
Arbitrary-Scale Image Synthesis
| 8
|
cvpr
| 1
| 3
|
2023-06-03 15:12:17
|
https://github.com/vglsd/scaleparty
| 39
|
Arbitrary-scale image synthesis
|
https://scholar.google.com/scholar?cluster=11591722873956369365&hl=en&as_sdt=0,47
| 10
| 2,022
|
Crowd Counting in the Frequency Domain
| 16
|
cvpr
| 1
| 1
|
2023-06-03 15:12:17.195000
|
https://github.com/wbshu/Crowd_Counting_in_the_Frequency_Domain
| 10
|
Crowd counting in the frequency domain
|
https://scholar.google.com/scholar?cluster=9496116420869260350&hl=en&as_sdt=0,47
| 1
| 2,022
|
Rethinking Visual Geo-Localization for Large-Scale Applications
| 21
|
cvpr
| 46
| 0
|
2023-06-03 15:12:17.388000
|
https://github.com/gmberton/cosplace
| 158
|
Rethinking visual geo-localization for large-scale applications
|
https://scholar.google.com/scholar?cluster=13291227342716907771&hl=en&as_sdt=0,47
| 6
| 2,022
|
Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis
| 4
|
cvpr
| 1
| 2
|
2023-06-03 15:12:17.582000
|
https://github.com/shi-yupeng/resail-for-sis
| 18
|
Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis
|
https://scholar.google.com/scholar?cluster=18237388723556776672&hl=en&as_sdt=0,5
| 3
| 2,022
|
ViM: Out-of-Distribution With Virtual-Logit Matching
| 46
|
cvpr
| 9
| 1
|
2023-06-03 15:12:17.776000
|
https://github.com/haoqiwang/vim
| 54
|
Vim: Out-of-distribution with virtual-logit matching
|
https://scholar.google.com/scholar?cluster=14640587043811012846&hl=en&as_sdt=0,32
| 4
| 2,022
|
Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata
| 6
|
cvpr
| 0
| 3
|
2023-06-03 15:12:17.970000
|
https://github.com/samsunglabs/content-aware-metadata
| 15
|
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
|
https://scholar.google.com/scholar?cluster=6215997292002228315&hl=en&as_sdt=0,32
| 4
| 2,022
|
NPBG++: Accelerating Neural Point-Based Graphics
| 19
|
cvpr
| 3
| 0
|
2023-06-03 15:12:18.164000
|
https://github.com/rakhimovv/npbgpp
| 72
|
NPBG++: Accelerating neural point-based graphics
|
https://scholar.google.com/scholar?cluster=4431996804075666654&hl=en&as_sdt=0,10
| 7
| 2,022
|
Towards an End-to-End Framework for Flow-Guided Video Inpainting
| 28
|
cvpr
| 74
| 36
|
2023-06-03 15:12:18.358000
|
https://github.com/MCG-NKU/E2FGVI
| 733
|
Towards an end-to-end framework for flow-guided video inpainting
|
https://scholar.google.com/scholar?cluster=6491078858607146383&hl=en&as_sdt=0,5
| 14
| 2,022
|
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres
| 4
|
cvpr
| 4
| 2
|
2023-06-03 15:12:18.552000
|
https://github.com/jw09191/MNET
| 31
|
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres
|
https://scholar.google.com/scholar?cluster=4033819530386431935&hl=en&as_sdt=0,5
| 3
| 2,022
|
Dual-Key Multimodal Backdoors for Visual Question Answering
| 6
|
cvpr
| 2
| 1
|
2023-06-03 15:12:18.746000
|
https://github.com/SRI-CSL/TrinityMultimodalTrojAI
| 21
|
Dual-key multimodal backdoors for visual question answering
|
https://scholar.google.com/scholar?cluster=2510015101914994133&hl=en&as_sdt=0,5
| 19
| 2,022
|
On Learning Contrastive Representations for Learning With Noisy Labels
| 13
|
cvpr
| 1
| 4
|
2023-06-03 15:12:18.941000
|
https://github.com/liyi01827/noisy-contrastive
| 20
|
On learning contrastive representations for learning with noisy labels
|
https://scholar.google.com/scholar?cluster=17517537665735016772&hl=en&as_sdt=0,5
| 1
| 2,022
|
Adaptive Early-Learning Correction for Segmentation From Noisy Annotations
| 29
|
cvpr
| 8
| 4
|
2023-06-03 15:12:19.136000
|
https://github.com/kangningthu/adele
| 62
|
Adaptive early-learning correction for segmentation from noisy annotations
|
https://scholar.google.com/scholar?cluster=530625488460245511&hl=en&as_sdt=0,20
| 3
| 2,022
|
Unsupervised Domain Generalization by Learning a Bridge Across Domains
| 8
|
cvpr
| 6
| 2
|
2023-06-03 15:12:19.330000
|
https://github.com/leokarlin/brad
| 16
|
Unsupervised domain generalization by learning a bridge across domains
|
https://scholar.google.com/scholar?cluster=3954970380405955444&hl=en&as_sdt=0,5
| 4
| 2,022
|
Multi-Scale Memory-Based Video Deblurring
| 1
|
cvpr
| 1
| 6
|
2023-06-03 15:12:19.524000
|
https://github.com/jibo27/memdeblur
| 25
|
Multi-Scale Memory-Based Video Deblurring
|
https://scholar.google.com/scholar?cluster=10514050726384410318&hl=en&as_sdt=0,33
| 4
| 2,022
|
Learning Trajectory-Aware Transformer for Video Super-Resolution
| 25
|
cvpr
| 11
| 6
|
2023-06-03 15:12:19.718000
|
https://github.com/researchmm/TTVSR
| 155
|
Learning trajectory-aware transformer for video super-resolution
|
https://scholar.google.com/scholar?cluster=14254697616696818680&hl=en&as_sdt=0,36
| 6
| 2,022
|
BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation
| 49
|
cvpr
| 13
| 1
|
2023-06-03 15:12:19.912000
|
https://github.com/computational-imaging/bacon
| 150
|
Bacon: Band-limited coordinate networks for multiscale scene representation
|
https://scholar.google.com/scholar?cluster=9022690859414463287&hl=en&as_sdt=0,33
| 9
| 2,022
|
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
| 3
|
cvpr
| 0
| 0
|
2023-06-03 15:12:20.106000
|
https://github.com/paul0noah/sm-comb
| 7
|
A scalable combinatorial solver for elastic geometrically consistent 3d shape matching
|
https://scholar.google.com/scholar?cluster=458979282895060638&hl=en&as_sdt=0,38
| 1
| 2,022
|
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
| 20
|
cvpr
| 31
| 0
|
2023-06-03 15:12:20.300000
|
https://github.com/shengcailiao/QAConv
| 180
|
Graph sampling based deep metric learning for generalizable person re-identification
|
https://scholar.google.com/scholar?cluster=14531702412735248957&hl=en&as_sdt=0,11
| 5
| 2,022
|
Large Loss Matters in Weakly Supervised Multi-Label Classification
| 15
|
cvpr
| 3
| 3
|
2023-06-03 15:12:20.494000
|
https://github.com/snucml/largelossmatters
| 30
|
Large loss matters in weakly supervised multi-label classification
|
https://scholar.google.com/scholar?cluster=2355235211209439942&hl=en&as_sdt=0,11
| 4
| 2,022
|
Geometric Structure Preserving Warp for Natural Image Stitching
| 1
|
cvpr
| 9
| 4
|
2023-06-03 15:12:20.688000
|
https://github.com/flowerduo/ges-gsp-stitching
| 34
|
Geometric Structure Preserving Warp for Natural Image Stitching
|
https://scholar.google.com/scholar?cluster=17391311720268949298&hl=en&as_sdt=0,5
| 0
| 2,022
|
Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation
| 13
|
cvpr
| 4
| 0
|
2023-06-03 15:12:20.882000
|
https://github.com/manmanjun/undoing_uda
| 16
|
Undoing the damage of label shift for cross-domain semantic segmentation
|
https://scholar.google.com/scholar?cluster=18242190270392725268&hl=en&as_sdt=0,5
| 1
| 2,022
|
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
| 39
|
cvpr
| 32
| 15
|
2023-06-03 15:12:21.076000
|
https://github.com/gangweix/acvnet
| 273
|
Attention concatenation volume for accurate and efficient stereo matching
|
https://scholar.google.com/scholar?cluster=9546790128088034646&hl=en&as_sdt=0,32
| 10
| 2,022
|
Reference-Based Video Super-Resolution Using Multi-Camera Video Triplets
| 11
|
cvpr
| 19
| 2
|
2023-06-03 15:12:21.270000
|
https://github.com/codeslake/RefVSR
| 170
|
Reference-based video super-resolution using multi-camera video triplets
|
https://scholar.google.com/scholar?cluster=8492238296973860495&hl=en&as_sdt=0,5
| 4
| 2,022
|
Focal Length and Object Pose Estimation via Render and Compare
| 5
|
cvpr
| 9
| 0
|
2023-06-03 15:12:21.475000
|
https://github.com/ponimatkin/focalpose
| 61
|
Focal length and object pose estimation via render and compare
|
https://scholar.google.com/scholar?cluster=4375857119956184026&hl=en&as_sdt=0,33
| 6
| 2,022
|
GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting
| 19
|
cvpr
| 12
| 8
|
2023-06-03 15:12:21.670000
|
https://github.com/lolrudy/gpv_pose
| 50
|
Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting
|
https://scholar.google.com/scholar?cluster=15383980007181086969&hl=en&as_sdt=0,11
| 4
| 2,022
|
Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination
| 5
|
cvpr
| 5
| 3
|
2023-06-03 15:12:21.864000
|
https://github.com/kyotovision-public/dynamic-3d-gaze-from-afar
| 36
|
Dynamic 3d gaze from afar: Deep gaze estimation from temporal eye-head-body coordination
|
https://scholar.google.com/scholar?cluster=14505854089634926626&hl=en&as_sdt=0,22
| 3
| 2,022
|
Trustworthy Long-Tailed Classification
| 24
|
cvpr
| 10
| 5
|
2023-06-03 15:12:22.058000
|
https://github.com/lblaoke/tlc
| 41
|
Trustworthy long-tailed classification
|
https://scholar.google.com/scholar?cluster=13156619284166385316&hl=en&as_sdt=0,51
| 1
| 2,022
|
GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature
| 13
|
cvpr
| 5
| 7
|
2023-06-03 15:12:22.252000
|
https://github.com/spadeliu/graft-psmnet
| 22
|
Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature
|
https://scholar.google.com/scholar?cluster=18400465047273061750&hl=en&as_sdt=0,33
| 2
| 2,022
|
GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection
| 24
|
cvpr
| 10
| 1
|
2023-06-03 15:12:22.446000
|
https://github.com/yueliao/gen-vlkt
| 59
|
Gen-vlkt: Simplify association and enhance interaction understanding for hoi detection
|
https://scholar.google.com/scholar?cluster=12388064586661056861&hl=en&as_sdt=0,5
| 5
| 2,022
|
Towards Total Recall in Industrial Anomaly Detection
| 165
|
cvpr
| 79
| 43
|
2023-06-03 15:12:22.641000
|
https://github.com/amazon-research/patchcore-inspection
| 397
|
Towards total recall in industrial anomaly detection
|
https://scholar.google.com/scholar?cluster=5206095115312316594&hl=en&as_sdt=0,5
| 13
| 2,022
|
Global Matching With Overlapping Attention for Optical Flow Estimation
| 21
|
cvpr
| 7
| 4
|
2023-06-03 15:12:22.840000
|
https://github.com/xiaofeng94/gmflownet
| 73
|
Global matching with overlapping attention for optical flow estimation
|
https://scholar.google.com/scholar?cluster=17198361630852312350&hl=en&as_sdt=0,39
| 5
| 2,022
|
HairMapper: Removing Hair From Portraits Using GANs
| 1
|
cvpr
| 29
| 0
|
2023-06-03 15:12:23.034000
|
https://github.com/oneThousand1000/HairMapper
| 199
|
HairMapper: Removing Hair from Portraits Using GANs
|
https://scholar.google.com/scholar?cluster=15262097110531580905&hl=en&as_sdt=0,5
| 9
| 2,022
|
Rethinking Efficient Lane Detection via Curve Modeling
| 27
|
cvpr
| 121
| 27
|
2023-06-03 15:12:23.228000
|
https://github.com/voldemortX/pytorch-auto-drive
| 665
|
Rethinking efficient lane detection via curve modeling
|
https://scholar.google.com/scholar?cluster=949946091219062353&hl=en&as_sdt=0,5
| 10
| 2,022
|
Image Dehazing Transformer With Transmission-Aware 3D Position Embedding
| 41
|
cvpr
| 9
| 13
|
2023-06-03 15:12:23.421000
|
https://github.com/Li-Chongyi/Dehamer
| 39
|
Image dehazing transformer with transmission-aware 3D position embedding
|
https://scholar.google.com/scholar?cluster=3873993523856645959&hl=en&as_sdt=0,5
| 2
| 2,022
|
Active Teacher for Semi-Supervised Object Detection
| 11
|
cvpr
| 6
| 0
|
2023-06-03 15:12:23.615000
|
https://github.com/hunterj-lin/activeteacher
| 45
|
Active teacher for semi-supervised object detection
|
https://scholar.google.com/scholar?cluster=16254437278639517990&hl=en&as_sdt=0,5
| 2
| 2,022
|
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
| 26
|
cvpr
| 5
| 1
|
2023-06-03 15:12:23.809000
|
https://github.com/jdonnelly36/Deformable-ProtoPNet
| 26
|
Deformable protopnet: An interpretable image classifier using deformable prototypes
|
https://scholar.google.com/scholar?cluster=10120980699796367660&hl=en&as_sdt=0,14
| 2
| 2,022
|
Audio-Adaptive Activity Recognition Across Video Domains
| 13
|
cvpr
| 0
| 0
|
2023-06-03 15:12:24.003000
|
https://github.com/xiaobai1217/DomainAdaptation
| 15
|
Audio-adaptive activity recognition across video domains
|
https://scholar.google.com/scholar?cluster=4675606367456358670&hl=en&as_sdt=0,33
| 3
| 2,022
|
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
| 51
|
cvpr
| 12
| 10
|
2023-06-03 15:12:24.197000
|
https://github.com/hrzhang1123/dtfd-mil
| 67
|
Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification
|
https://scholar.google.com/scholar?cluster=14285175044896723615&hl=en&as_sdt=0,1
| 1
| 2,022
|
Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation
| 47
|
cvpr
| 14
| 0
|
2023-06-03 15:12:24.391000
|
https://github.com/yyliu01/ps-mt
| 149
|
Perturbed and strict mean teachers for semi-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=8198064819499128394&hl=en&as_sdt=0,44
| 4
| 2,022
|
Deep Generalized Unfolding Networks for Image Restoration
| 29
|
cvpr
| 18
| 4
|
2023-06-03 15:12:24.585000
|
https://github.com/mc-e/deep-generalized-unfolding-networks-for-image-restoration
| 86
|
Deep generalized unfolding networks for image restoration
|
https://scholar.google.com/scholar?cluster=7494856167361955847&hl=en&as_sdt=0,5
| 6
| 2,022
|
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
| 35
|
cvpr
| 14
| 23
|
2023-06-03 15:12:24.779000
|
https://github.com/ltkong218/ifrnet
| 177
|
Ifrnet: Intermediate feature refine network for efficient frame interpolation
|
https://scholar.google.com/scholar?cluster=17285578741262758001&hl=en&as_sdt=0,33
| 9
| 2,022
|
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
| 13
|
cvpr
| 4
| 0
|
2023-06-03 15:12:24.979000
|
https://github.com/xuyunqiu/h2fa_r-cnn
| 21
|
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
|
https://scholar.google.com/scholar?cluster=14474288568007525729&hl=en&as_sdt=0,44
| 2
| 2,022
|
Toward Practical Monocular Indoor Depth Estimation
| 7
|
cvpr
| 12
| 12
|
2023-06-03 15:12:25.173000
|
https://github.com/facebookresearch/DistDepth
| 153
|
Toward practical monocular indoor depth estimation
|
https://scholar.google.com/scholar?cluster=14631084137186211122&hl=en&as_sdt=0,1
| 8
| 2,022
|
Focal Sparse Convolutional Networks for 3D Object Detection
| 63
|
cvpr
| 30
| 2
|
2023-06-03 15:12:25.366000
|
https://github.com/dvlab-research/focalsconv
| 317
|
Focal sparse convolutional networks for 3d object detection
|
https://scholar.google.com/scholar?cluster=17217899982806844888&hl=en&as_sdt=0,5
| 3
| 2,022
|
A ConvNet for the 2020s
| 1,373
|
cvpr
| 626
| 55
|
2023-06-03 15:12:25.560000
|
https://github.com/facebookresearch/ConvNeXt
| 4,980
|
A convnet for the 2020s
|
https://scholar.google.com/scholar?cluster=14443907969977981621&hl=en&as_sdt=0,5
| 31
| 2,022
|
Nested Collaborative Learning for Long-Tailed Visual Recognition
| 22
|
cvpr
| 24
| 0
|
2023-06-03 15:12:25.754000
|
https://github.com/bazinga699/ncl
| 69
|
Nested collaborative learning for long-tailed visual recognition
|
https://scholar.google.com/scholar?cluster=17817271762400185230&hl=en&as_sdt=0,10
| 1
| 2,022
|
Restormer: Efficient Transformer for High-Resolution Image Restoration
| 430
|
cvpr
| 172
| 23
|
2023-06-03 15:12:25.948000
|
https://github.com/swz30/restormer
| 1,093
|
Restormer: Efficient transformer for high-resolution image restoration
|
https://scholar.google.com/scholar?cluster=16431204865977056518&hl=en&as_sdt=0,33
| 15
| 2,022
|
Proactive Image Manipulation Detection
| 13
|
cvpr
| 5
| 1
|
2023-06-03 15:12:26.142000
|
https://github.com/vishal3477/proactive_imd
| 19
|
Proactive image manipulation detection
|
https://scholar.google.com/scholar?cluster=6137308031728166809&hl=en&as_sdt=0,44
| 2
| 2,022
|
Boosting Crowd Counting via Multifaceted Attention
| 39
|
cvpr
| 16
| 9
|
2023-06-03 15:12:26.336000
|
https://github.com/loralinh/boosting-crowd-counting-via-multifaceted-attention
| 65
|
Boosting crowd counting via multifaceted attention
|
https://scholar.google.com/scholar?cluster=11874033844588786645&hl=en&as_sdt=0,31
| 4
| 2,022
|
HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned From Static Images
| 4
|
cvpr
| 2
| 0
|
2023-06-03 15:12:26.530000
|
https://github.com/Ali2500/HODOR
| 15
|
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images
|
https://scholar.google.com/scholar?cluster=14744779499159128664&hl=en&as_sdt=0,5
| 1
| 2,022
|
Learning Distinctive Margin Toward Active Domain Adaptation
| 9
|
cvpr
| 2
| 1
|
2023-06-03 15:12:26.724000
|
https://github.com/tencentyouturesearch/activelearning-sdm
| 15
|
Learning distinctive margin toward active domain adaptation
|
https://scholar.google.com/scholar?cluster=9634979691431361691&hl=en&as_sdt=0,33
| 2
| 2,022
|
StyTr2: Image Style Transfer With Transformers
| 54
|
cvpr
| 51
| 12
|
2023-06-03 15:12:26.918000
|
https://github.com/diyiiyiii/StyTR-2
| 225
|
Stytr2: Image style transfer with transformers
|
https://scholar.google.com/scholar?cluster=11574050246452156935&hl=en&as_sdt=0,5
| 5
| 2,022
|
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster
| 2
|
cvpr
| 1,084
| 744
|
2023-06-03 15:12:27.112000
|
https://github.com/intel-analytics/BigDL
| 4,222
|
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
|
https://scholar.google.com/scholar?cluster=9864215102515109742&hl=en&as_sdt=0,31
| 237
| 2,022
|
Neural Inertial Localization
| 8
|
cvpr
| 9
| 3
|
2023-06-03 15:12:27.306000
|
https://github.com/Sachini/niloc
| 59
|
Neural inertial localization
|
https://scholar.google.com/scholar?cluster=11014129419899900337&hl=en&as_sdt=0,48
| 11
| 2,022
|
Contrastive Test-Time Adaptation
| 52
|
cvpr
| 6
| 2
|
2023-06-03 15:12:27.501000
|
https://github.com/DianCh/AdaContrast
| 64
|
Contrastive test-time adaptation
|
https://scholar.google.com/scholar?cluster=12033489108280591471&hl=en&as_sdt=0,5
| 0
| 2,022
|
BEVT: BERT Pretraining of Video Transformers
| 89
|
cvpr
| 15
| 2
|
2023-06-03 15:12:27.695000
|
https://github.com/xyzforever/bevt
| 140
|
Bevt: Bert pretraining of video transformers
|
https://scholar.google.com/scholar?cluster=9527303198700083047&hl=en&as_sdt=0,14
| 6
| 2,022
|
Attentive Fine-Grained Structured Sparsity for Image Restoration
| 9
|
cvpr
| 3
| 1
|
2023-06-03 15:12:27.889000
|
https://github.com/junghunoh/sls_cvpr2022
| 28
|
Attentive fine-grained structured sparsity for image restoration
|
https://scholar.google.com/scholar?cluster=10207666943032449932&hl=en&as_sdt=0,43
| 2
| 2,022
|
Automatic Relation-Aware Graph Network Proliferation
| 1
|
cvpr
| 2
| 0
|
2023-06-03 15:12:28.083000
|
https://github.com/phython96/ARGNP
| 21
|
Automatic Relation-aware Graph Network Proliferation
|
https://scholar.google.com/scholar?cluster=2091863511758166713&hl=en&as_sdt=0,5
| 2
| 2,022
|
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
| 39
|
cvpr
| 4
| 9
|
2023-06-03 15:12:28.282000
|
https://github.com/maeve07/rca
| 61
|
Regional semantic contrast and aggregation for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=5084328956172259959&hl=en&as_sdt=0,5
| 3
| 2,022
|
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
| 15
|
cvpr
| 0
| 4
|
2023-06-03 15:12:28.491000
|
https://github.com/wenjiaxu/vgse
| 34
|
Vgse: Visually-grounded semantic embeddings for zero-shot learning
|
https://scholar.google.com/scholar?cluster=7139969826440179766&hl=en&as_sdt=0,10
| 5
| 2,022
|
Contextual Instance Decoupling for Robust Multi-Person Pose Estimation
| 7
|
cvpr
| 9
| 4
|
2023-06-03 15:12:28.685000
|
https://github.com/kennethwdk/cid
| 38
|
Contextual Instance Decoupling for Robust Multi-Person Pose Estimation
|
https://scholar.google.com/scholar?cluster=9573347418062099087&hl=en&as_sdt=0,5
| 1
| 2,022
|
NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night
| 9
|
cvpr
| 1
| 6
|
2023-06-03 15:12:28.880000
|
https://github.com/xdeng7/nightlab
| 24
|
NightLab: A dual-level architecture with hardness detection for segmentation at night
|
https://scholar.google.com/scholar?cluster=8582137563664570244&hl=en&as_sdt=0,47
| 7
| 2,022
|
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
| 38
|
cvpr
| 17
| 0
|
2023-06-03 15:12:29.074000
|
https://github.com/zhaozhengchen/recam
| 111
|
Class re-activation maps for weakly-supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=8897020011930575520&hl=en&as_sdt=0,5
| 2
| 2,022
|
Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection
| 19
|
cvpr
| 10
| 6
|
2023-06-03 15:12:29.269000
|
https://github.com/choubo/dra
| 55
|
Catching both gray and black swans: Open-set supervised anomaly detection
|
https://scholar.google.com/scholar?cluster=3212757597363903396&hl=en&as_sdt=0,36
| 5
| 2,022
|
A Simple Data Mixing Prior for Improving Self-Supervised Learning
| 11
|
cvpr
| 0
| 1
|
2023-06-03 15:12:29.463000
|
https://github.com/oliverrensu/sdmp
| 18
|
A simple data mixing prior for improving self-supervised learning
|
https://scholar.google.com/scholar?cluster=17623687333052042987&hl=en&as_sdt=0,50
| 1
| 2,022
|
InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition
| 27
|
cvpr
| 6
| 5
|
2023-06-03 15:12:29.657000
|
https://github.com/stnoah1/infogcn
| 68
|
Infogcn: Representation learning for human skeleton-based action recognition
|
https://scholar.google.com/scholar?cluster=7150747450236425563&hl=en&as_sdt=0,51
| 2
| 2,022
|
TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions
| 50
|
cvpr
| 30
| 3
|
2023-06-03 15:12:29.851000
|
https://github.com/jeya-maria-jose/TransWeather
| 97
|
Transweather: Transformer-based restoration of images degraded by adverse weather conditions
|
https://scholar.google.com/scholar?cluster=563900006853828372&hl=en&as_sdt=0,44
| 6
| 2,022
|
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