title
stringlengths 8
155
| citations_google_scholar
int64 0
28.9k
| conference
stringclasses 5
values | forks
int64 0
46.3k
| issues
int64 0
12.2k
| lastModified
stringlengths 19
26
| repo_url
stringlengths 26
130
| stars
int64 0
75.9k
| title_google_scholar
stringlengths 8
155
| url_google_scholar
stringlengths 75
206
| watchers
int64 0
2.77k
| year
int64 2.02k
2.02k
|
|---|---|---|---|---|---|---|---|---|---|---|---|
Spherical Confidence Learning for Face Recognition | 37 | cvpr | 7 | 2 | 2023-06-03 13:16:10.780000 | https://github.com/MathsShen/SCF | 71 | Spherical confidence learning for face recognition | https://scholar.google.com/scholar?cluster=2804038155970346173&hl=en&as_sdt=0,33 | 1 | 2,021 |
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals | 571 | cvpr | 181 | 33 | 2023-06-03 13:16:10.980000 | https://github.com/PeizeSun/SparseR-CNN | 1,243 | Sparse r-cnn: End-to-end object detection with learnable proposals | https://scholar.google.com/scholar?cluster=2104521862399993019&hl=en&as_sdt=0,5 | 18 | 2,021 |
Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses | 8 | cvpr | 3 | 2 | 2023-06-03 13:16:11.172000 | https://github.com/yi-ming-qian/roofgan | 31 | Roof-gan: Learning to generate roof geometry and relations for residential houses | https://scholar.google.com/scholar?cluster=13615776309818015997&hl=en&as_sdt=0,5 | 4 | 2,021 |
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation | 93 | cvpr | 25 | 6 | 2023-06-03 13:16:11.364000 | https://github.com/joe-siyuan-qiao/ViP-DeepLab | 205 | Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation | https://scholar.google.com/scholar?cluster=9655790843364940778&hl=en&as_sdt=0,5 | 13 | 2,021 |
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines | 8 | cvpr | 4 | 1 | 2023-06-03 13:16:11.555000 | https://github.com/kunalchelani/Line2Point | 37 | How privacy-preserving are line clouds? recovering scene details from 3d lines | https://scholar.google.com/scholar?cluster=6922577891184748806&hl=en&as_sdt=0,29 | 2 | 2,021 |
Stay Positive: Non-Negative Image Synthesis for Augmented Reality | 1 | cvpr | 4 | 0 | 2023-06-03 13:16:11.746000 | https://github.com/katieluo88/staypositive | 26 | Stay Positive: Non-Negative Image Synthesis for Augmented Reality | https://scholar.google.com/scholar?cluster=8999551926409003763&hl=en&as_sdt=0,47 | 3 | 2,021 |
Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance | 10 | cvpr | 4 | 0 | 2023-06-03 13:16:11.938000 | https://github.com/za-cheng/PM-PMVS | 63 | Multi-view 3d reconstruction of a texture-less smooth surface of unknown generic reflectance | https://scholar.google.com/scholar?cluster=14122645277689137445&hl=en&as_sdt=0,5 | 11 | 2,021 |
Regularizing Generative Adversarial Networks Under Limited Data | 79 | cvpr | 17 | 3 | 2023-06-03 13:16:12.132000 | https://github.com/google/lecam-gan | 156 | Regularizing generative adversarial networks under limited data | https://scholar.google.com/scholar?cluster=2171644461537225779&hl=en&as_sdt=0,5 | 11 | 2,021 |
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification | 18 | cvpr | 6 | 2 | 2023-06-03 13:16:12.323000 | https://github.com/emdata-ailab/PhD-Learning | 13 | Phd learning: Learning with pompeiu-hausdorff distances for video-based vehicle re-identification | https://scholar.google.com/scholar?cluster=15651193690723423145&hl=en&as_sdt=0,33 | 1 | 2,021 |
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators | 108 | cvpr | 46,273 | 1,204 | 2023-06-03 13:16:12.515000 | https://github.com/tensorflow/models | 75,885 | Mobiledets: Searching for object detection architectures for mobile accelerators | https://scholar.google.com/scholar?cluster=11292448814138773366&hl=en&as_sdt=0,5 | 2,774 | 2,021 |
Regularizing Neural Networks via Adversarial Model Perturbation | 62 | cvpr | 8 | 1 | 2023-06-03 13:16:12.707000 | https://github.com/hiyouga/AMP-Regularizer | 31 | Regularizing neural networks via adversarial model perturbation | https://scholar.google.com/scholar?cluster=159593877140258646&hl=en&as_sdt=0,44 | 2 | 2,021 |
Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times | 3 | cvpr | 2 | 3 | 2023-06-03 13:16:12.902000 | https://github.com/omer11a/digital-gimbal | 12 | Digital gimbal: End-to-end deep image stabilization with learnable exposure times | https://scholar.google.com/scholar?cluster=260596067970143906&hl=en&as_sdt=0,5 | 2 | 2,021 |
Open World Compositional Zero-Shot Learning | 60 | cvpr | 21 | 6 | 2023-06-03 13:16:13.094000 | https://github.com/ExplainableML/czsl | 85 | Open world compositional zero-shot learning | https://scholar.google.com/scholar?cluster=17915577558306787897&hl=en&as_sdt=0,31 | 4 | 2,021 |
Continual Learning via Bit-Level Information Preserving | 19 | cvpr | 3 | 1 | 2023-06-03 13:16:13.286000 | https://github.com/Yujun-Shi/BLIP | 37 | Continual learning via bit-level information preserving | https://scholar.google.com/scholar?cluster=5481229777141324219&hl=en&as_sdt=0,31 | 2 | 2,021 |
Contrastive Neural Architecture Search With Neural Architecture Comparators | 29 | cvpr | 4 | 0 | 2023-06-03 13:16:13.477000 | https://github.com/chenyaofo/CTNAS | 36 | Contrastive neural architecture search with neural architecture comparators | https://scholar.google.com/scholar?cluster=6536937962792264866&hl=en&as_sdt=0,5 | 6 | 2,021 |
Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach | 24 | cvpr | 24 | 3 | 2023-06-03 13:16:13.669000 | https://github.com/SHI-Labs/Rethinking-Text-Segmentation | 201 | Rethinking text segmentation: A novel dataset and a text-specific refinement approach | https://scholar.google.com/scholar?cluster=85559860054228346&hl=en&as_sdt=0,5 | 17 | 2,021 |
SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery | 13 | cvpr | 1 | 2 | 2023-06-03 13:16:13.867000 | https://github.com/brachiohyup/SIPSA | 14 | Sipsa-net: Shift-invariant pan sharpening with moving object alignment for satellite imagery | https://scholar.google.com/scholar?cluster=10916348569860936671&hl=en&as_sdt=0,5 | 1 | 2,021 |
HOTR: End-to-End Human-Object Interaction Detection With Transformers | 140 | cvpr | 20 | 14 | 2023-06-03 13:16:14.062000 | https://github.com/kakaobrain/HOTR | 122 | Hotr: End-to-end human-object interaction detection with transformers | https://scholar.google.com/scholar?cluster=12457555581764369519&hl=en&as_sdt=0,22 | 6 | 2,021 |
Unpaired Image-to-Image Translation via Latent Energy Transport | 22 | cvpr | 9 | 1 | 2023-06-03 13:16:14.254000 | https://github.com/YangNaruto/latent-energy-transport | 43 | Unpaired image-to-image translation via latent energy transport | https://scholar.google.com/scholar?cluster=3604013830472222214&hl=en&as_sdt=0,5 | 3 | 2,021 |
Generalizable Pedestrian Detection: The Elephant in the Room | 78 | cvpr | 153 | 0 | 2023-06-03 13:16:14.446000 | https://github.com/hasanirtiza/Pedestron | 631 | Generalizable pedestrian detection: The elephant in the room | https://scholar.google.com/scholar?cluster=1841952340529293898&hl=en&as_sdt=0,11 | 18 | 2,021 |
STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks | 128 | cvpr | 13 | 9 | 2023-06-03 13:16:14.637000 | https://github.com/fzh0917/STMTrack | 70 | Stmtrack: Template-free visual tracking with space-time memory networks | https://scholar.google.com/scholar?cluster=15248432581458880980&hl=en&as_sdt=0,43 | 2 | 2,021 |
Triple-Cooperative Video Shadow Detection | 23 | cvpr | 4 | 1 | 2023-06-03 13:16:14.829000 | https://github.com/eraserNut/ViSha | 25 | Triple-cooperative video shadow detection | https://scholar.google.com/scholar?cluster=14498873794346957980&hl=en&as_sdt=0,10 | 4 | 2,021 |
3D-to-2D Distillation for Indoor Scene Parsing | 30 | cvpr | 3 | 7 | 2023-06-03 13:16:15.021000 | https://github.com/liuzhengzhe/3D-to-2D-Distillation-for-Indoor-Scene-Parsing | 44 | 3d-to-2d distillation for indoor scene parsing | https://scholar.google.com/scholar?cluster=1157879971757768482&hl=en&as_sdt=0,34 | 3 | 2,021 |
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis | 5 | cvpr | 0 | 0 | 2023-06-03 13:16:15.213000 | https://github.com/AlvinZhuyx/camera_pose_representation | 16 | Learning neural representation of camera pose with matrix representation of pose shift via view synthesis | https://scholar.google.com/scholar?cluster=11279118821440888049&hl=en&as_sdt=0,5 | 2 | 2,021 |
Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification | 63 | cvpr | 4 | 0 | 2023-06-03 13:16:15.405000 | https://github.com/2han9x1a0release/RLCC | 9 | Refining pseudo labels with clustering consensus over generations for unsupervised object re-identification | https://scholar.google.com/scholar?cluster=9495158567965592980&hl=en&as_sdt=0,23 | 1 | 2,021 |
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models | 88 | cvpr | 13 | 2 | 2023-06-03 13:16:15.597000 | https://github.com/VITA-Group/CV_LTH_Pre-training | 61 | The lottery tickets hypothesis for supervised and self-supervised pre-training in computer vision models | https://scholar.google.com/scholar?cluster=9665171368816644761&hl=en&as_sdt=0,5 | 14 | 2,021 |
PML: Progressive Margin Loss for Long-Tailed Age Classification | 38 | cvpr | 2 | 2 | 2023-06-03 13:16:15.788000 | https://github.com/SanyeungWang/PML | 12 | Pml: Progressive margin loss for long-tailed age classification | https://scholar.google.com/scholar?cluster=18212278929738151115&hl=en&as_sdt=0,5 | 1 | 2,021 |
Single Image Depth Prediction With Wavelet Decomposition | 38 | cvpr | 36 | 0 | 2023-06-03 13:16:15.980000 | https://github.com/nianticlabs/wavelet-monodepth | 214 | Single image depth prediction with wavelet decomposition | https://scholar.google.com/scholar?cluster=7966803353137342558&hl=en&as_sdt=0,39 | 12 | 2,021 |
EnD: Entangling and Disentangling Deep Representations for Bias Correction | 64 | cvpr | 3 | 1 | 2023-06-03 13:16:16.172000 | https://github.com/EIDOSlab/entangling-disentangling-bias | 15 | End: Entangling and disentangling deep representations for bias correction | https://scholar.google.com/scholar?cluster=2823444988595280671&hl=en&as_sdt=0,44 | 4 | 2,021 |
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows | 78 | cvpr | 22 | 6 | 2023-06-03 13:16:16.363000 | https://github.com/pkuanjie/ArtFlow | 133 | Artflow: Unbiased image style transfer via reversible neural flows | https://scholar.google.com/scholar?cluster=3369519100876703278&hl=en&as_sdt=0,1 | 6 | 2,021 |
Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter | 8 | cvpr | 11 | 6 | 2023-06-03 13:16:16.554000 | https://github.com/Wang-Tianwei/Implicit-feature-alignment | 60 | Implicit feature alignment: learn to convert text recognizer to text spotter | https://scholar.google.com/scholar?cluster=16153700515830086108&hl=en&as_sdt=0,5 | 4 | 2,021 |
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network | 62 | cvpr | 12 | 2 | 2023-06-03 13:16:16.746000 | https://github.com/ruiliu-ai/DivCo | 65 | Divco: Diverse conditional image synthesis via contrastive generative adversarial network | https://scholar.google.com/scholar?cluster=3013413064043278208&hl=en&as_sdt=0,33 | 3 | 2,021 |
KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment | 38 | cvpr | 4 | 2 | 2023-06-03 13:16:16.938000 | https://github.com/hjSim/KOALAnet | 33 | Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment | https://scholar.google.com/scholar?cluster=7559850928591885532&hl=en&as_sdt=0,5 | 5 | 2,021 |
Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts | 30 | cvpr | 10 | 0 | 2023-06-03 13:16:17.130000 | https://github.com/zillow/zind | 132 | Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts | https://scholar.google.com/scholar?cluster=480781525344538560&hl=en&as_sdt=0,5 | 16 | 2,021 |
Positive Sample Propagation Along the Audio-Visual Event Line | 45 | cvpr | 10 | 0 | 2023-06-03 13:16:17.321000 | https://github.com/jasongief/PSP_CVPR_2021 | 35 | Positive sample propagation along the audio-visual event line | https://scholar.google.com/scholar?cluster=3043211004122309264&hl=en&as_sdt=0,39 | 3 | 2,021 |
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization | 30 | cvpr | 3 | 4 | 2023-06-03 13:16:17.512000 | https://github.com/deel-ai/deel-lip | 70 | Achieving robustness in classification using optimal transport with hinge regularization | https://scholar.google.com/scholar?cluster=14482711934050746997&hl=en&as_sdt=0,5 | 7 | 2,021 |
Distilling Causal Effect of Data in Class-Incremental Learning | 116 | cvpr | 7 | 2 | 2023-06-03 13:16:17.704000 | https://github.com/JoyHuYY1412/DDE_CIL | 55 | Distilling causal effect of data in class-incremental learning | https://scholar.google.com/scholar?cluster=616466842345848267&hl=en&as_sdt=0,5 | 2 | 2,021 |
Real-Time High-Resolution Background Matting | 117 | cvpr | 920 | 39 | 2023-06-03 13:16:17.896000 | https://github.com/PeterL1n/BackgroundMattingV2 | 6,294 | Real-time high-resolution background matting | https://scholar.google.com/scholar?cluster=14815088791302815348&hl=en&as_sdt=0,48 | 147 | 2,021 |
Self-Supervised Geometric Perception | 22 | cvpr | 2 | 0 | 2023-06-03 13:16:18.088000 | https://github.com/theNded/SGP | 145 | Self-supervised geometric perception | https://scholar.google.com/scholar?cluster=12972960961540767864&hl=en&as_sdt=0,14 | 27 | 2,021 |
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering | 87 | cvpr | 33 | 2 | 2023-06-03 13:16:18.279000 | https://github.com/janghyuncho/PiCIE | 176 | Picie: Unsupervised semantic segmentation using invariance and equivariance in clustering | https://scholar.google.com/scholar?cluster=14972346295060017825&hl=en&as_sdt=0,5 | 3 | 2,021 |
Metadata Normalization | 12 | cvpr | 3 | 2 | 2023-06-03 13:16:18.470000 | https://github.com/mlu355/MetadataNorm | 18 | Metadata normalization | https://scholar.google.com/scholar?cluster=2606098392012969749&hl=en&as_sdt=0,23 | 2 | 2,021 |
UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification | 39 | cvpr | 8 | 6 | 2023-06-03 13:16:18.662000 | https://github.com/FlyHighest/UnrealPerson | 70 | Unrealperson: An adaptive pipeline towards costless person re-identification | https://scholar.google.com/scholar?cluster=14136359213002758168&hl=en&as_sdt=0,44 | 4 | 2,021 |
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback | 40 | cvpr | 10 | 2 | 2023-06-03 13:16:18.855000 | https://github.com/postBG/CosMo.pytorch | 57 | Cosmo: Content-style modulation for image retrieval with text feedback | https://scholar.google.com/scholar?cluster=7877571534622037277&hl=en&as_sdt=0,5 | 3 | 2,021 |
A Multiplexed Network for End-to-End, Multilingual OCR | 23 | cvpr | 6 | 0 | 2023-06-03 13:16:19.055000 | https://github.com/facebookresearch/MultiplexedOCR | 64 | A multiplexed network for end-to-end, multilingual OCR | https://scholar.google.com/scholar?cluster=18230155525657851457&hl=en&as_sdt=0,47 | 19 | 2,021 |
Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking | 53 | cvpr | 3 | 0 | 2023-06-03 13:16:19.246000 | https://github.com/chkim403/blstm-mtp | 21 | Discriminative appearance modeling with multi-track pooling for real-time multi-object tracking | https://scholar.google.com/scholar?cluster=11021460782125895378&hl=en&as_sdt=0,33 | 3 | 2,021 |
General Multi-Label Image Classification With Transformers | 135 | cvpr | 35 | 6 | 2023-06-03 13:16:19.437000 | https://github.com/QData/C-Tran | 179 | General multi-label image classification with transformers | https://scholar.google.com/scholar?cluster=13893159385470963321&hl=en&as_sdt=0,5 | 8 | 2,021 |
UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles | 92 | cvpr | 9 | 8 | 2023-06-03 13:16:19.630000 | https://github.com/SUTDCV/UAV-Human | 143 | Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles | https://scholar.google.com/scholar?cluster=131638545922960226&hl=en&as_sdt=0,5 | 6 | 2,021 |
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding | 86 | cvpr | 1 | 5 | 2023-06-03 13:16:19.821000 | https://github.com/liudaizong/CBLN | 20 | Context-aware biaffine localizing network for temporal sentence grounding | https://scholar.google.com/scholar?cluster=13944337781888254186&hl=en&as_sdt=0,25 | 7 | 2,021 |
Auto-Exposure Fusion for Single-Image Shadow Removal | 67 | cvpr | 28 | 12 | 2023-06-03 13:16:20.013000 | https://github.com/tsingqguo/exposure-fusion-shadow-removal | 156 | Auto-exposure fusion for single-image shadow removal | https://scholar.google.com/scholar?cluster=8800214440851984824&hl=en&as_sdt=0,3 | 7 | 2,021 |
Populating 3D Scenes by Learning Human-Scene Interaction | 59 | cvpr | 11 | 9 | 2023-06-03 13:16:20.204000 | https://github.com/mohamedhassanmus/POSA | 87 | Populating 3D scenes by learning human-scene interaction | https://scholar.google.com/scholar?cluster=15438549382159555424&hl=en&as_sdt=0,5 | 3 | 2,021 |
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation | 201 | cvpr | 58 | 10 | 2023-06-03 13:16:20.396000 | https://github.com/weihaox/TediGAN | 335 | Tedigan: Text-guided diverse face image generation and manipulation | https://scholar.google.com/scholar?cluster=2355571043587775935&hl=en&as_sdt=0,5 | 10 | 2,021 |
Exploring Sparsity in Image Super-Resolution for Efficient Inference | 114 | cvpr | 28 | 20 | 2023-06-03 13:16:20.588000 | https://github.com/LongguangWang/SMSR | 228 | Exploring sparsity in image super-resolution for efficient inference | https://scholar.google.com/scholar?cluster=2087939017149023760&hl=en&as_sdt=0,33 | 7 | 2,021 |
Simpler Certified Radius Maximization by Propagating Covariances | 3 | cvpr | 1 | 0 | 2023-06-03 13:16:20.779000 | https://github.com/zhenxingjian/Propagating_Covariance | 4 | Simpler certified radius maximization by propagating covariances | https://scholar.google.com/scholar?cluster=9172669133376835254&hl=en&as_sdt=0,33 | 2 | 2,021 |
StylePeople: A Generative Model of Fullbody Human Avatars | 38 | cvpr | 6 | 0 | 2023-06-03 13:16:20.973000 | https://github.com/Dolorousrtur/style-people | 23 | Stylepeople: A generative model of fullbody human avatars | https://scholar.google.com/scholar?cluster=10279676245017267770&hl=en&as_sdt=0,5 | 1 | 2,021 |
Memory-Efficient Network for Large-Scale Video Compressive Sensing | 39 | cvpr | 3 | 1 | 2023-06-03 13:16:21.165000 | https://github.com/BoChenGroup/RevSCI-net | 20 | Memory-efficient network for large-scale video compressive sensing | https://scholar.google.com/scholar?cluster=16316385234608503752&hl=en&as_sdt=0,31 | 1 | 2,021 |
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction | 49 | cvpr | 18 | 1 | 2023-06-03 13:16:21.356000 | https://github.com/AljazBozic/NeuralGraph | 141 | Neural deformation graphs for globally-consistent non-rigid reconstruction | https://scholar.google.com/scholar?cluster=12870418421299018371&hl=en&as_sdt=0,23 | 6 | 2,021 |
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search | 30 | cvpr | 10 | 4 | 2023-06-03 13:16:21.548000 | https://github.com/luminxu/ViPNAS | 43 | Vipnas: Efficient video pose estimation via neural architecture search | https://scholar.google.com/scholar?cluster=463881621209957672&hl=en&as_sdt=0,7 | 5 | 2,021 |
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation | 100 | cvpr | 9 | 6 | 2023-06-03 13:16:21.746000 | https://github.com/jbeomlee93/BBAM | 93 | Bbam: Bounding box attribution map for weakly supervised semantic and instance segmentation | https://scholar.google.com/scholar?cluster=13387821059089379890&hl=en&as_sdt=0,14 | 5 | 2,021 |
Amalgamating Knowledge From Heterogeneous Graph Neural Networks | 52 | cvpr | 1 | 2 | 2023-06-03 13:16:21.937000 | https://github.com/ycjing/AmalgamateGNN.PyTorch | 15 | Amalgamating knowledge from heterogeneous graph neural networks | https://scholar.google.com/scholar?cluster=8671883522813146854&hl=en&as_sdt=0,44 | 2 | 2,021 |
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement | 207 | cvpr | 24 | 6 | 2023-06-03 13:16:22.129000 | https://github.com/KarelZhang/RUAS | 76 | Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement | https://scholar.google.com/scholar?cluster=3809086358231988437&hl=en&as_sdt=0,5 | 3 | 2,021 |
Predator: Registration of 3D Point Clouds With Low Overlap | 195 | cvpr | 57 | 5 | 2023-06-03 13:16:22.321000 | https://github.com/ShengyuH/OverlapPredator | 363 | Predator: Registration of 3d point clouds with low overlap | https://scholar.google.com/scholar?cluster=15458777390719597114&hl=en&as_sdt=0,5 | 12 | 2,021 |
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation | 74 | cvpr | 23 | 2 | 2023-06-03 13:16:22.512000 | https://github.com/W-zx-Y/DANNet | 100 | Dannet: A one-stage domain adaptation network for unsupervised nighttime semantic segmentation | https://scholar.google.com/scholar?cluster=13005306794607282066&hl=en&as_sdt=0,5 | 2 | 2,021 |
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training | 64 | cvpr | 7 | 1 | 2023-06-03 13:16:22.704000 | https://github.com/lukemelas/pixmatch | 33 | Pixmatch: Unsupervised domain adaptation via pixelwise consistency training | https://scholar.google.com/scholar?cluster=16396239953331018584&hl=en&as_sdt=0,5 | 4 | 2,021 |
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion | 103 | cvpr | 17 | 10 | 2023-06-03 13:16:22.896000 | https://github.com/ShiQiu0419/BAAF-Net | 95 | Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion | https://scholar.google.com/scholar?cluster=2401797052665971808&hl=en&as_sdt=0,33 | 6 | 2,021 |
DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors | 46 | cvpr | 11 | 3 | 2023-06-03 13:16:23.088000 | https://github.com/huangjh-pub/di-fusion | 107 | Di-fusion: Online implicit 3d reconstruction with deep priors | https://scholar.google.com/scholar?cluster=10163665950409560820&hl=en&as_sdt=0,5 | 3 | 2,021 |
Learning Graph Embeddings for Compositional Zero-Shot Learning | 80 | cvpr | 21 | 6 | 2023-06-03 13:16:23.281000 | https://github.com/ExplainableML/czsl | 85 | Learning graph embeddings for compositional zero-shot learning | https://scholar.google.com/scholar?cluster=16016610818419068365&hl=en&as_sdt=0,5 | 4 | 2,021 |
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation | 11 | cvpr | 4 | 2 | 2023-06-03 13:16:23.473000 | https://github.com/KhrulkovV/NeuralSBS | 14 | Neural side-by-side: Predicting human preferences for no-reference super-resolution evaluation | https://scholar.google.com/scholar?cluster=12587015866754201082&hl=en&as_sdt=0,5 | 2 | 2,021 |
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification | 93 | cvpr | 23 | 3 | 2023-06-03 13:16:23.665000 | https://github.com/HeliosZhao/M3L | 52 | Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification | https://scholar.google.com/scholar?cluster=14604118849107032618&hl=en&as_sdt=0,41 | 3 | 2,021 |
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics | 19 | cvpr | 0 | 0 | 2023-06-03 13:16:23.866000 | https://github.com/git-disl/DP-Ensemble | 4 | Boosting ensemble accuracy by revisiting ensemble diversity metrics | https://scholar.google.com/scholar?cluster=17960956130360902631&hl=en&as_sdt=0,33 | 4 | 2,021 |
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation | 87 | cvpr | 108 | 1 | 2023-06-03 13:16:24.062000 | https://github.com/vitoralbiero/img2pose | 537 | img2pose: Face alignment and detection via 6dof, face pose estimation | https://scholar.google.com/scholar?cluster=4532542063231978095&hl=en&as_sdt=0,21 | 23 | 2,021 |
Binary TTC: A Temporal Geofence for Autonomous Navigation | 18 | cvpr | 9 | 2 | 2023-06-03 13:16:24.255000 | https://github.com/NVlabs/BiTTC | 47 | Binary ttc: A temporal geofence for autonomous navigation | https://scholar.google.com/scholar?cluster=5422438333716948548&hl=en&as_sdt=0,5 | 9 | 2,021 |
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization | 31 | cvpr | 7 | 2 | 2023-06-03 13:16:24.446000 | https://github.com/IRMVLab/PWCLONet | 46 | Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization | https://scholar.google.com/scholar?cluster=7292224928962753730&hl=en&as_sdt=0,14 | 4 | 2,021 |
Limitations of Post-Hoc Feature Alignment for Robustness | 17 | cvpr | 1 | 0 | 2023-06-03 13:16:24.638000 | https://github.com/collin-burns/feature-alignment | 9 | Limitations of post-hoc feature alignment for robustness | https://scholar.google.com/scholar?cluster=10007615184186415315&hl=en&as_sdt=0,5 | 1 | 2,021 |
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias | 20 | cvpr | 0 | 1 | 2023-06-03 13:16:24.829000 | https://github.com/yzhao520/CPP | 9 | Camera pose matters: Improving depth prediction by mitigating pose distribution bias | https://scholar.google.com/scholar?cluster=159639015212632476&hl=en&as_sdt=0,44 | 5 | 2,021 |
Trajectory Prediction With Latent Belief Energy-Based Model | 47 | cvpr | 4 | 1 | 2023-06-03 13:16:25.020000 | https://github.com/bpucla/lbebm | 14 | Trajectory prediction with latent belief energy-based model | https://scholar.google.com/scholar?cluster=16762426174098635430&hl=en&as_sdt=0,31 | 3 | 2,021 |
Dynamic Slimmable Network | 78 | cvpr | 19 | 5 | 2023-06-03 13:16:25.212000 | https://github.com/changlin31/DS-Net | 206 | Dynamic slimmable network | https://scholar.google.com/scholar?cluster=4748499622697401157&hl=en&as_sdt=0,5 | 9 | 2,021 |
Coordinate Attention for Efficient Mobile Network Design | 1,251 | cvpr | 111 | 40 | 2023-06-03 13:16:25.403000 | https://github.com/Andrew-Qibin/CoordAttention | 812 | Coordinate attention for efficient mobile network design | https://scholar.google.com/scholar?cluster=3090051676751795724&hl=en&as_sdt=0,23 | 9 | 2,021 |
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers | 333 | cvpr | 68 | 5 | 2023-06-03 13:16:25.595000 | https://github.com/dddzg/up-detr | 445 | Up-detr: Unsupervised pre-training for object detection with transformers | https://scholar.google.com/scholar?cluster=10828507269261066901&hl=en&as_sdt=0,13 | 13 | 2,021 |
Domain-Independent Dominance of Adaptive Methods | 16 | cvpr | 3 | 1 | 2023-06-03 13:16:25.786000 | https://github.com/lolemacs/avagrad | 5 | Domain-independent dominance of adaptive methods | https://scholar.google.com/scholar?cluster=4724538541608089973&hl=en&as_sdt=0,5 | 4 | 2,021 |
Intentonomy: A Dataset and Study Towards Human Intent Understanding | 15 | cvpr | 3 | 2 | 2023-06-03 13:16:25.977000 | https://github.com/KMnP/intentonomy | 30 | Intentonomy: a dataset and study towards human intent understanding | https://scholar.google.com/scholar?cluster=5268870345003195142&hl=en&as_sdt=0,5 | 6 | 2,021 |
Weakly Supervised Learning of Rigid 3D Scene Flow | 52 | cvpr | 17 | 0 | 2023-06-03 13:16:26.170000 | https://github.com/zgojcic/Rigid3DSceneFlow | 125 | Weakly supervised learning of rigid 3D scene flow | https://scholar.google.com/scholar?cluster=12559706025847463188&hl=en&as_sdt=0,5 | 7 | 2,021 |
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements | 62 | cvpr | 12 | 6 | 2023-06-03 13:16:26.362000 | https://github.com/qianlim/SCALE | 137 | SCALE: Modeling clothed humans with a surface codec of articulated local elements | https://scholar.google.com/scholar?cluster=719449730726585903&hl=en&as_sdt=0,36 | 8 | 2,021 |
End-to-End Rotation Averaging With Multi-Source Propagation | 12 | cvpr | 0 | 1 | 2023-06-03 13:16:26.554000 | https://github.com/sfu-gruvi-3dv/msp_rot_avg | 4 | End-to-end rotation averaging with multi-source propagation | https://scholar.google.com/scholar?cluster=13738694698799406974&hl=en&as_sdt=0,38 | 4 | 2,021 |
Efficient Regional Memory Network for Video Object Segmentation | 80 | cvpr | 14 | 5 | 2023-06-03 13:16:26.749000 | https://github.com/hzxie/RMNet | 80 | Efficient regional memory network for video object segmentation | https://scholar.google.com/scholar?cluster=988648905528030221&hl=en&as_sdt=0,11 | 6 | 2,021 |
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks | 23 | cvpr | 14 | 2 | 2023-06-03 13:16:26.941000 | https://github.com/uber-research/permute-quantize-finetune | 138 | Permute, quantize, and fine-tune: Efficient compression of neural networks | https://scholar.google.com/scholar?cluster=9142582804391009886&hl=en&as_sdt=0,15 | 10 | 2,021 |
Learning Placeholders for Open-Set Recognition | 101 | cvpr | 5 | 0 | 2023-06-03 13:16:27.134000 | https://github.com/zhoudw-zdw/CVPR21-Proser | 62 | Learning placeholders for open-set recognition | https://scholar.google.com/scholar?cluster=3578115835054885638&hl=en&as_sdt=0,11 | 1 | 2,021 |
Learning Triadic Belief Dynamics in Nonverbal Communication From Videos | 12 | cvpr | 1 | 1 | 2023-06-03 13:16:27.325000 | https://github.com/LifengFan/Triadic-Belief-Dynamics | 24 | Learning triadic belief dynamics in nonverbal communication from videos | https://scholar.google.com/scholar?cluster=15365483338824697316&hl=en&as_sdt=0,10 | 1 | 2,021 |
Rethinking and Improving the Robustness of Image Style Transfer | 61 | cvpr | 8 | 3 | 2023-06-03 13:16:27.517000 | https://github.com/peiwang062/swag | 68 | Rethinking and improving the robustness of image style transfer | https://scholar.google.com/scholar?cluster=1388867253415843451&hl=en&as_sdt=0,11 | 2 | 2,021 |
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation | 150 | cvpr | 10 | 2 | 2023-06-03 13:16:27.709000 | https://github.com/Reagan1311/ASGNet | 100 | Adaptive prototype learning and allocation for few-shot segmentation | https://scholar.google.com/scholar?cluster=6066343110768130599&hl=en&as_sdt=0,5 | 4 | 2,021 |
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders | 16 | cvpr | 5 | 0 | 2023-06-03 13:16:27.901000 | https://github.com/junhocho/HGCAE | 39 | Unsupervised hyperbolic representation learning via message passing auto-encoders | https://scholar.google.com/scholar?cluster=935372689415120335&hl=en&as_sdt=0,5 | 3 | 2,021 |
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision | 49 | cvpr | 41 | 7 | 2023-06-03 13:16:28.093000 | https://github.com/preddy5/Im2Vec | 248 | Im2vec: Synthesizing vector graphics without vector supervision | https://scholar.google.com/scholar?cluster=11546943917570278518&hl=en&as_sdt=0,5 | 8 | 2,021 |
HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection | 62 | cvpr | 10 | 10 | 2023-06-03 13:16:28.284000 | https://github.com/cvlab-yonsei/HVPR | 41 | Hvpr: Hybrid voxel-point representation for single-stage 3d object detection | https://scholar.google.com/scholar?cluster=4407966554044764458&hl=en&as_sdt=0,44 | 4 | 2,021 |
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts | 141 | cvpr | 29 | 12 | 2023-06-03 13:16:28.476000 | https://github.com/facebookresearch/ContrastiveSceneContexts | 202 | Exploring data-efficient 3d scene understanding with contrastive scene contexts | https://scholar.google.com/scholar?cluster=13865762697551268322&hl=en&as_sdt=0,33 | 14 | 2,021 |
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition | 56 | cvpr | 4 | 1 | 2023-06-03 13:16:28.669000 | https://github.com/Yan-Xia/SOE-Net | 27 | SOE-Net: A self-attention and orientation encoding network for point cloud based place recognition | https://scholar.google.com/scholar?cluster=5474105332958847763&hl=en&as_sdt=0,44 | 1 | 2,021 |
Deep Video Matting via Spatio-Temporal Alignment and Aggregation | 27 | cvpr | 6 | 6 | 2023-06-03 14:28:28.573000 | https://github.com/nowsyn/DVM | 81 | Deep video matting via spatio-temporal alignment and aggregation | https://scholar.google.com/scholar?cluster=9990319638495859460&hl=en&as_sdt=0,5 | 11 | 2,021 |
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis | 1 | cvpr | 1 | 2 | 2023-06-03 14:28:28.766000 | https://github.com/MingyuY/Iterative-view-synthesis | 17 | ID-Unet: Iterative Soft and Hard Deformation for View Synthesis | https://scholar.google.com/scholar?cluster=337572587298032510&hl=en&as_sdt=0,5 | 3 | 2,021 |
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation | 134 | cvpr | 7 | 14 | 2023-06-03 14:28:28.960000 | https://github.com/NUST-Machine-Intelligence-Laboratory/nsrom | 29 | Non-salient region object mining for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=9153345519997499260&hl=en&as_sdt=0,5 | 3 | 2,021 |
Adaptive Class Suppression Loss for Long-Tail Object Detection | 48 | cvpr | 17 | 8 | 2023-06-03 14:28:29.153000 | https://github.com/CASIA-IVA-Lab/ACSL | 70 | Adaptive class suppression loss for long-tail object detection | https://scholar.google.com/scholar?cluster=12268764715246462942&hl=en&as_sdt=0,5 | 5 | 2,021 |
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation | 11 | cvpr | 2 | 1 | 2023-06-03 14:28:29.346000 | https://github.com/gudovskiy/autodo | 23 | Autodo: Robust autoaugment for biased data with label noise via scalable probabilistic implicit differentiation | https://scholar.google.com/scholar?cluster=7377035415006974852&hl=en&as_sdt=0,33 | 3 | 2,021 |
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging | 11 | cvpr | 4 | 0 | 2023-06-03 14:28:29.547000 | https://github.com/princeton-computational-imaging/MaskToF | 12 | Mask-tof: Learning microlens masks for flying pixel correction in time-of-flight imaging | https://scholar.google.com/scholar?cluster=11766099077329725847&hl=en&as_sdt=0,5 | 2 | 2,021 |
Subsets and Splits