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Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning | 3 | eccv | 0 | 1 | 2023-06-17 00:58:48.302000 | https://github.com/explainableml/tcaf-gzsl | 20 | Temporal and cross-modal attention for audio-visual zero-shot learning | https://scholar.google.com/scholar?cluster=9127263304491981894&hl=en&as_sdt=0,33 | 5 | 2,022 |
HM: Hybrid Masking for Few-Shot Segmentation | 2 | eccv | 1 | 0 | 2023-06-17 00:58:48.514000 | https://github.com/moonsh/hm-hybrid-masking | 5 | HM: Hybrid Masking for Few-Shot Segmentation | https://scholar.google.com/scholar?cluster=2746624612924022604&hl=en&as_sdt=0,5 | 1 | 2,022 |
Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning | 3 | eccv | 0 | 0 | 2023-06-17 00:58:48.726000 | https://github.com/zhangtao2022/dsfn | 1 | Kernel Relative-prototype Spectral Filtering for Few-Shot Learning | https://scholar.google.com/scholar?cluster=12268793648832428513&hl=en&as_sdt=0,31 | 1 | 2,022 |
CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS | 7 | eccv | 27 | 13 | 2023-06-17 00:58:48.937000 | https://github.com/walkerning/aw_nas | 224 | Close: Curriculum learning on the sharing extent towards better one-shot nas | https://scholar.google.com/scholar?cluster=18233510394396201076&hl=en&as_sdt=0,34 | 20 | 2,022 |
Streamable Neural Fields | 6 | eccv | 2 | 0 | 2023-06-17 00:58:49.169000 | https://github.com/jwcho5576/streamable_nf | 33 | Streamable neural fields | https://scholar.google.com/scholar?cluster=1384360260508089902&hl=en&as_sdt=0,14 | 2 | 2,022 |
Gradient-Based Uncertainty for Monocular Depth Estimation | 4 | eccv | 3 | 1 | 2023-06-17 00:58:49.381000 | https://github.com/jhornauer/grumodepth | 28 | Gradient-Based Uncertainty for Monocular Depth Estimation | https://scholar.google.com/scholar?cluster=12746982656582274263&hl=en&as_sdt=0,47 | 3 | 2,022 |
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution | 3 | eccv | 3 | 2 | 2023-06-17 00:58:49.592000 | https://github.com/taehokim20/cprune | 9 | CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution | https://scholar.google.com/scholar?cluster=15980442821409200207&hl=en&as_sdt=0,5 | 2 | 2,022 |
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses | 4 | eccv | 1 | 0 | 2023-06-17 00:58:49.805000 | https://github.com/erobic/occam-nets-v1 | 5 | Occamnets: Mitigating dataset bias by favoring simpler hypotheses | https://scholar.google.com/scholar?cluster=13162946641295046686&hl=en&as_sdt=0,5 | 2 | 2,022 |
Unpaired Image Translation via Vector Symbolic Architectures | 5 | eccv | 4 | 0 | 2023-06-17 00:58:50.017000 | https://github.com/facebookresearch/vsait | 37 | Unpaired Image Translation via Vector Symbolic Architectures | https://scholar.google.com/scholar?cluster=17990095507514740621&hl=en&as_sdt=0,25 | 5 | 2,022 |
TinyViT: Fast Pretraining Distillation for Small Vision Transformers | 23 | eccv | 167 | 24 | 2023-06-17 00:58:50.228000 | https://github.com/microsoft/cream | 1,078 | Tinyvit: Fast pretraining distillation for small vision transformers | https://scholar.google.com/scholar?cluster=4658683247078177479&hl=en&as_sdt=0,5 | 25 | 2,022 |
Equivariant Hypergraph Neural Networks | 3 | eccv | 2 | 0 | 2023-06-17 00:58:50.439000 | https://github.com/jw9730/ehnn | 15 | Equivariant Hypergraph Neural Networks | https://scholar.google.com/scholar?cluster=5938186475562018150&hl=en&as_sdt=0,5 | 1 | 2,022 |
ScaleNet: Searching for the Model to Scale | 2 | eccv | 1 | 0 | 2023-06-17 00:58:50.651000 | https://github.com/luminolx/scalenet | 11 | ScaleNet: Searching for the Model to Scale | https://scholar.google.com/scholar?cluster=16572205936902670187&hl=en&as_sdt=0,47 | 2 | 2,022 |
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction | 0 | eccv | 0 | 2 | 2023-06-17 00:58:50.863000 | https://github.com/vincent-leguen/COMBO | 3 | Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction | https://scholar.google.com/scholar?cluster=15266485381591197947&hl=en&as_sdt=0,22 | 1 | 2,022 |
ViTAS: Vision Transformer Architecture Search | 6 | eccv | 8 | 3 | 2023-06-17 00:58:51.074000 | https://github.com/xiusu/ViTAS | 46 | ViTAS: Vision transformer architecture search | https://scholar.google.com/scholar?cluster=14119978498301589160&hl=en&as_sdt=0,10 | 4 | 2,022 |
Black-Box Few-Shot Knowledge Distillation | 2 | eccv | 1 | 0 | 2023-06-17 00:58:51.286000 | https://github.com/nphdang/fs-bbt | 8 | Black-box few-shot knowledge distillation | https://scholar.google.com/scholar?cluster=5688113168766279249&hl=en&as_sdt=0,50 | 1 | 2,022 |
LA3: Efficient Label-Aware AutoAugment | 0 | eccv | 1 | 0 | 2023-06-17 00:58:51.499000 | https://github.com/simpleple/la3-label-aware-autoaugment | 3 | LA3: Efficient Label-Aware AutoAugment | https://scholar.google.com/scholar?cluster=3894389871011653773&hl=en&as_sdt=0,5 | 1 | 2,022 |
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps | 6 | eccv | 0 | 1 | 2023-06-17 00:58:51.711000 | https://github.com/Alii-Ganjj/InterpretationsSteeredPruning | 3 | Interpretations steered network pruning via amortized inferred saliency maps | https://scholar.google.com/scholar?cluster=16292895093122182950&hl=en&as_sdt=0,31 | 2 | 2,022 |
BA-Net: Bridge Attention for Deep Convolutional Neural Networks | 6 | eccv | 0 | 3 | 2023-06-17 00:58:51.922000 | https://github.com/zhaoy376/bridge-attention | 26 | BA-Net: Bridge attention for deep convolutional neural networks | https://scholar.google.com/scholar?cluster=16233048016302722444&hl=en&as_sdt=0,24 | 1 | 2,022 |
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks | 1 | eccv | 0 | 0 | 2023-06-17 00:58:52.135000 | https://github.com/berndprach/aol | 2 | Almost-orthogonal layers for efficient general-purpose Lipschitz networks | https://scholar.google.com/scholar?cluster=11685902648980734119&hl=en&as_sdt=0,5 | 1 | 2,022 |
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration | 8 | eccv | 3 | 0 | 2023-06-17 00:58:52.347000 | https://github.com/zzzqzhou/ram-dsir | 28 | Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration | https://scholar.google.com/scholar?cluster=12473310865572484859&hl=en&as_sdt=0,10 | 1 | 2,022 |
Personalizing Federated Medical Image Segmentation via Local Calibration | 2 | eccv | 2 | 9 | 2023-06-17 00:58:52.559000 | https://github.com/jcwang123/fedlc | 32 | Personalizing Federated Medical Image Segmentation via Local Calibration | https://scholar.google.com/scholar?cluster=11468920632271740017&hl=en&as_sdt=0,5 | 1 | 2,022 |
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization | 2 | eccv | 1 | 1 | 2023-06-17 00:58:52.772000 | https://github.com/kaminyou/urust | 26 | Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization | https://scholar.google.com/scholar?cluster=16474808232208188455&hl=en&as_sdt=0,14 | 2 | 2,022 |
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation | 1 | eccv | 0 | 1 | 2023-06-17 00:58:52.984000 | https://github.com/wenxuan-1119/med-danet | 8 | Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation | https://scholar.google.com/scholar?cluster=3628125222314565557&hl=en&as_sdt=0,50 | 2 | 2,022 |
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images | 15 | eccv | 6 | 5 | 2023-06-17 00:58:53.195000 | https://github.com/compspi/cryoai | 38 | Cryoai: Amortized inference of poses for ab initio reconstruction of 3d molecular volumes from real cryo-em images | https://scholar.google.com/scholar?cluster=13315374701548249986&hl=en&as_sdt=0,5 | 10 | 2,022 |
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier | 9 | eccv | 3 | 2 | 2023-06-17 00:58:53.408000 | https://github.com/ytongxie/unimiss-code | 27 | UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier | https://scholar.google.com/scholar?cluster=15914805146298001141&hl=en&as_sdt=0,47 | 1 | 2,022 |
DLME: Deep Local-Flatness Manifold Embedding | 7 | eccv | 0 | 0 | 2023-06-17 00:58:53.620000 | https://github.com/zangzelin/code_ECCV2022_DLME | 9 | Dlme: Deep local-flatness manifold embedding | https://scholar.google.com/scholar?cluster=381672874695229650&hl=en&as_sdt=0,34 | 3 | 2,022 |
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching | 1 | eccv | 4 | 1 | 2023-06-17 00:58:53.832000 | https://github.com/ruc-aimc-lab/superretina | 27 | Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching | https://scholar.google.com/scholar?cluster=13637656622545284175&hl=en&as_sdt=0,11 | 1 | 2,022 |
Graph Neural Network for Cell Tracking in Microscopy Videos | 8 | eccv | 6 | 2 | 2023-06-17 00:58:54.043000 | https://github.com/talbenha/cell-tracker-gnn | 42 | Graph neural network for cell tracking in microscopy videos | https://scholar.google.com/scholar?cluster=15512678247201277993&hl=en&as_sdt=0,47 | 4 | 2,022 |
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation | 0 | eccv | 1 | 0 | 2023-06-17 00:58:54.254000 | https://github.com/yjoh12/cxr-segmentation-by-adain-based-domain-adaptation-and-knowledge-distillation | 0 | CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation | https://scholar.google.com/scholar?cluster=15308907585693777793&hl=en&as_sdt=0,1 | 1 | 2,022 |
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment | 0 | eccv | 1 | 0 | 2023-06-17 00:58:54.466000 | https://github.com/hcholab/k-salsa | 0 | k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment | https://scholar.google.com/scholar?cluster=18175212415813703092&hl=en&as_sdt=0,33 | 2 | 2,022 |
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification | 13 | eccv | 0 | 1 | 2023-06-17 00:58:54.679000 | https://github.com/bmi-imaginelab/radiotransformer | 4 | RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification | https://scholar.google.com/scholar?cluster=10312803465014097360&hl=en&as_sdt=0,5 | 0 | 2,022 |
Towards Grand Unification of Object Tracking | 46 | eccv | 82 | 23 | 2023-06-17 00:58:54.890000 | https://github.com/masterbin-iiau/unicorn | 896 | Towards grand unification of object tracking | https://scholar.google.com/scholar?cluster=14300935760162828522&hl=en&as_sdt=0,33 | 20 | 2,022 |
ByteTrack: Multi-Object Tracking by Associating Every Detection Box | 348 | eccv | 661 | 236 | 2023-06-17 00:58:55.102000 | https://github.com/ifzhang/ByteTrack | 3,371 | Bytetrack: Multi-object tracking by associating every detection box | https://scholar.google.com/scholar?cluster=14638466021176544465&hl=en&as_sdt=0,5 | 39 | 2,022 |
Particle Video Revisited: Tracking through Occlusions Using Point Trajectories | 10 | eccv | 37 | 9 | 2023-06-17 00:58:55.314000 | https://github.com/aharley/pips | 405 | Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories | https://scholar.google.com/scholar?cluster=7235613830954970670&hl=en&as_sdt=0,33 | 11 | 2,022 |
Tracking Objects As Pixel-Wise Distributions | 19 | eccv | 3 | 13 | 2023-06-17 00:58:55.526000 | https://github.com/dvlab-research/eccv22-p3aformer-tracking-objects-as-pixel-wise-distributions | 145 | Tracking objects as pixel-wise distributions | https://scholar.google.com/scholar?cluster=10239175441885037567&hl=en&as_sdt=0,5 | 6 | 2,022 |
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting | 5 | eccv | 6 | 0 | 2023-06-17 00:58:55.738000 | https://github.com/d1024choi/hlstrajforecast | 25 | Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting | https://scholar.google.com/scholar?cluster=265805843734417469&hl=en&as_sdt=0,33 | 3 | 2,022 |
AiATrack: Attention in Attention for Transformer Visual Tracking | 32 | eccv | 6 | 1 | 2023-06-17 00:58:55.949000 | https://github.com/Little-Podi/AiATrack | 79 | Aiatrack: Attention in attention for transformer visual tracking | https://scholar.google.com/scholar?cluster=6724748843400977919&hl=en&as_sdt=0,44 | 2 | 2,022 |
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow | 6 | eccv | 2 | 0 | 2023-06-17 00:58:56.170000 | https://github.com/cv-stuttgart/pcfa | 14 | A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow | https://scholar.google.com/scholar?cluster=16383434306748747261&hl=en&as_sdt=0,5 | 2 | 2,022 |
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors | 3 | eccv | 4 | 0 | 2023-06-17 00:58:56.382000 | https://github.com/sirui-xu/stars | 50 | Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors | https://scholar.google.com/scholar?cluster=4097166737551548782&hl=en&as_sdt=0,23 | 4 | 2,022 |
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction | 4 | eccv | 4 | 2 | 2023-06-17 00:58:56.594000 | https://github.com/inhwanbae/gpgraph | 32 | Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction | https://scholar.google.com/scholar?cluster=13720968093052724417&hl=en&as_sdt=0,32 | 4 | 2,022 |
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework | 50 | eccv | 28 | 8 | 2023-06-17 00:58:56.807000 | https://github.com/botaoye/ostrack | 199 | Joint feature learning and relation modeling for tracking: A one-stream framework | https://scholar.google.com/scholar?cluster=1516895187053369438&hl=en&as_sdt=0,24 | 4 | 2,022 |
MotionCLIP: Exposing Human Motion Generation to CLIP Space | 58 | eccv | 21 | 3 | 2023-06-17 00:58:57.019000 | https://github.com/guytevet/motionclip | 254 | Motionclip: Exposing human motion generation to clip space | https://scholar.google.com/scholar?cluster=10636085114698849763&hl=en&as_sdt=0,39 | 20 | 2,022 |
Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking | 23 | eccv | 2 | 3 | 2023-06-17 00:58:57.230000 | https://github.com/lpxtt/simtrack | 29 | Backbone is all your need: a simplified architecture for visual object tracking | https://scholar.google.com/scholar?cluster=7811696988001327455&hl=en&as_sdt=0,44 | 1 | 2,022 |
Optical Flow Training under Limited Label Budget via Active Learning | 6 | eccv | 3 | 0 | 2023-06-17 00:58:57.445000 | https://github.com/duke-vision/optical-flow-active-learning-release | 12 | Optical flow training under limited label budget via active learning | https://scholar.google.com/scholar?cluster=16741848411026447304&hl=en&as_sdt=0,36 | 4 | 2,022 |
Tackling Background Distraction in Video Object Segmentation | 7 | eccv | 2 | 0 | 2023-06-17 00:58:57.662000 | https://github.com/suhwan-cho/tbd | 30 | Tackling background distraction in video object segmentation | https://scholar.google.com/scholar?cluster=2852504604865860365&hl=en&as_sdt=0,5 | 2 | 2,022 |
Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation | 8 | eccv | 7 | 1 | 2023-06-17 00:58:57.874000 | https://github.com/abduallahmohamed/social-implicit | 52 | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation | https://scholar.google.com/scholar?cluster=7434612477820276011&hl=en&as_sdt=0,47 | 4 | 2,022 |
TEMOS: Generating Diverse Human Motions from Textual Descriptions | 53 | eccv | 13 | 7 | 2023-06-17 00:58:58.085000 | https://github.com/Mathux/TEMOS | 247 | TEMOS: Generating diverse human motions from textual descriptions | https://scholar.google.com/scholar?cluster=906697653407689869&hl=en&as_sdt=0,5 | 9 | 2,022 |
Tracking Every Thing in the Wild | 4 | eccv | 6 | 4 | 2023-06-17 00:58:58.298000 | https://github.com/SysCV/tet | 76 | Tracking Every Thing in the Wild | https://scholar.google.com/scholar?cluster=17643674694055084285&hl=en&as_sdt=0,33 | 14 | 2,022 |
Towards Sequence-Level Training for Visual Tracking | 2 | eccv | 2 | 0 | 2023-06-17 00:58:58.509000 | https://github.com/byminji/SLTtrack | 46 | Towards Sequence-Level Training for Visual Tracking | https://scholar.google.com/scholar?cluster=16548636254162117508&hl=en&as_sdt=0,33 | 2 | 2,022 |
Robust Visual Tracking by Segmentation | 8 | eccv | 578 | 56 | 2023-06-17 00:58:58.722000 | https://github.com/visionml/pytracking | 2,795 | Robust visual tracking by segmentation | https://scholar.google.com/scholar?cluster=16927571156723818733&hl=en&as_sdt=0,11 | 90 | 2,022 |
MeshLoc: Mesh-Based Visual Localization | 9 | eccv | 12 | 0 | 2023-06-17 00:58:58.934000 | https://github.com/tsattler/meshloc_release | 157 | MeshLoc: Mesh-Based Visual Localization | https://scholar.google.com/scholar?cluster=1928196166887368454&hl=en&as_sdt=0,5 | 14 | 2,022 |
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization | 0 | eccv | 2 | 2 | 2023-06-17 00:58:59.146000 | https://github.com/cvbubbles/nonlocal-3dtracking | 9 | Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization | https://scholar.google.com/scholar?cluster=11816291111308790806&hl=en&as_sdt=0,5 | 1 | 2,022 |
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums | 15 | eccv | 4 | 0 | 2023-06-17 00:58:59.358000 | https://github.com/cocoon2wong/Vertical | 31 | View Vertically: A hierarchical network for trajectory prediction via fourier spectrums | https://scholar.google.com/scholar?cluster=8328120336151116110&hl=en&as_sdt=0,5 | 4 | 2,022 |
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image | 51 | eccv | 26 | 4 | 2023-06-17 00:58:59.570000 | https://github.com/VITA-Group/SinNeRF | 298 | Sinnerf: Training neural radiance fields on complex scenes from a single image | https://scholar.google.com/scholar?cluster=10013613209913154166&hl=en&as_sdt=0,33 | 12 | 2,022 |
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation | 1 | eccv | 5 | 0 | 2023-06-17 00:58:59.781000 | https://github.com/ZGCTroy/ED-DPM | 35 | Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation | https://scholar.google.com/scholar?cluster=17257542322181853280&hl=en&as_sdt=0,5 | 1 | 2,022 |
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling | 9 | eccv | 3 | 1 | 2023-06-17 00:58:59.993000 | https://github.com/fudan-zvg/pds | 47 | Accelerating score-based generative models with preconditioned diffusion sampling | https://scholar.google.com/scholar?cluster=6374985991699368911&hl=en&as_sdt=0,5 | 6 | 2,022 |
Learning to Generate Realistic LiDAR Point Clouds | 6 | eccv | 9 | 5 | 2023-06-17 00:59:00.205000 | https://github.com/vzyrianov/lidargen | 79 | Learning to Generate Realistic LiDAR Point Clouds | https://scholar.google.com/scholar?cluster=7015071200961093989&hl=en&as_sdt=0,47 | 5 | 2,022 |
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds | 1 | eccv | 3 | 0 | 2023-06-17 00:59:00.416000 | https://github.com/hkust-vgd/rfnet-4d | 15 | RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds | https://scholar.google.com/scholar?cluster=16154462971381882871&hl=en&as_sdt=0,5 | 2 | 2,022 |
Exploring Gradient-Based Multi-directional Controls in GANs | 2 | eccv | 3 | 0 | 2023-06-17 00:59:00.628000 | https://github.com/zikuncshelly/gradctrl | 6 | Exploring Gradient-Based Multi-directional Controls in GANs | https://scholar.google.com/scholar?cluster=6195565596897570824&hl=en&as_sdt=0,47 | 1 | 2,022 |
Neural Scene Decoration from a Single Photograph | 1 | eccv | 1 | 1 | 2023-06-17 00:59:00.840000 | https://github.com/hkust-vgd/neural_scene_decoration | 4 | Neural Scene Decoration from a Single Photograph | https://scholar.google.com/scholar?cluster=17327877529397304963&hl=en&as_sdt=0,33 | 2 | 2,022 |
Outpainting by Queries | 4 | eccv | 5 | 1 | 2023-06-17 00:59:01.053000 | https://github.com/kaiseem/queryotr | 30 | Outpainting by queries | https://scholar.google.com/scholar?cluster=5922315739372026164&hl=en&as_sdt=0,16 | 3 | 2,022 |
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes | 23 | eccv | 19 | 2 | 2023-06-17 00:59:01.265000 | https://github.com/samb-t/unleashing-transformers | 159 | Unleashing transformers: parallel token prediction with discrete absorbing diffusion for fast high-resolution image generation from vector-quantized codes | https://scholar.google.com/scholar?cluster=7593120029891493996&hl=en&as_sdt=0,47 | 7 | 2,022 |
GAN Cocktail: Mixing GANs without Dataset Access | 2 | eccv | 1 | 0 | 2023-06-17 00:59:01.477000 | https://github.com/omriav/GAN-cocktail | 6 | GAN Cocktail: mixing GANs without dataset access | https://scholar.google.com/scholar?cluster=15305393115604923454&hl=en&as_sdt=0,5 | 1 | 2,022 |
Subspace Diffusion Generative Models | 33 | eccv | 10 | 2 | 2023-06-17 00:59:01.689000 | https://github.com/bjing2016/subspace-diffusion | 115 | Subspace diffusion generative models | https://scholar.google.com/scholar?cluster=3690537087303403167&hl=en&as_sdt=0,23 | 4 | 2,022 |
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning | 17 | eccv | 0 | 0 | 2023-06-17 00:59:01.912000 | https://github.com/jianzhangcs/r-dfcil | 6 | R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning | https://scholar.google.com/scholar?cluster=15505663649422774659&hl=en&as_sdt=0,5 | 1 | 2,022 |
Domain Generalization by Mutual-Information Regularization with Pre-trained Models | 25 | eccv | 4 | 0 | 2023-06-17 00:59:02.125000 | https://github.com/kakaobrain/miro | 68 | Domain generalization by mutual-information regularization with pre-trained models | https://scholar.google.com/scholar?cluster=8821874949203772669&hl=en&as_sdt=0,23 | 3 | 2,022 |
Neural-Sim: Learning to Generate Training Data with NeRF | 5 | eccv | 5 | 5 | 2023-06-17 00:59:02.337000 | https://github.com/gyhandy/neural-sim-nerf | 133 | Neural-Sim: Learning to Generate Training Data with NeRF | https://scholar.google.com/scholar?cluster=8102904368333644039&hl=en&as_sdt=0,5 | 7 | 2,022 |
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning | 2 | eccv | 0 | 0 | 2023-06-17 00:59:02.549000 | https://github.com/fanhanwei/bocr | 1 | Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning | https://scholar.google.com/scholar?cluster=6772837170787107208&hl=en&as_sdt=0,15 | 2 | 2,022 |
Continual Variational Autoencoder Learning via Online Cooperative Memorization | 8 | eccv | 1 | 0 | 2023-06-17 00:59:02.762000 | https://github.com/dtuzi123/ovae | 8 | Continual variational autoencoder learning via online cooperative memorization | https://scholar.google.com/scholar?cluster=1422808793868309749&hl=en&as_sdt=0,5 | 1 | 2,022 |
Batch-Efficient EigenDecomposition for Small and Medium Matrices | 2 | eccv | 1 | 1 | 2023-06-17 00:59:02.979000 | https://github.com/kingjamessong/batched | 13 | Batch-Efficient EigenDecomposition for Small and Medium Matrices | https://scholar.google.com/scholar?cluster=444921300368814099&hl=en&as_sdt=0,33 | 1 | 2,022 |
A Comparative Study of Graph Matching Algorithms in Computer Vision | 1 | eccv | 0 | 0 | 2023-06-17 00:59:03.196000 | https://github.com/vislearn/gmbench | 4 | A comparative study of graph matching algorithms in computer vision | https://scholar.google.com/scholar?cluster=3115785570681844280&hl=en&as_sdt=0,5 | 2 | 2,022 |
Improving Generalization in Federated Learning by Seeking Flat Minima | 21 | eccv | 15 | 0 | 2023-06-17 00:59:03.414000 | https://github.com/debcaldarola/fedsam | 45 | Improving generalization in federated learning by seeking flat minima | https://scholar.google.com/scholar?cluster=17644179753896530288&hl=en&as_sdt=0,5 | 3 | 2,022 |
Transfer without Forgetting | 7 | eccv | 1 | 0 | 2023-06-17 00:59:03.627000 | https://github.com/mbosc/twf | 14 | Transfer without forgetting | https://scholar.google.com/scholar?cluster=3940165614619807649&hl=en&as_sdt=0,39 | 3 | 2,022 |
Tackling Long-Tailed Category Distribution under Domain Shifts | 4 | eccv | 2 | 0 | 2023-06-17 00:59:03.846000 | https://github.com/guxiao0822/lt-ds | 18 | Tackling long-tailed category distribution under domain shifts | https://scholar.google.com/scholar?cluster=2241964884701464263&hl=en&as_sdt=0,5 | 1 | 2,022 |
Improving Vision Transformers by Revisiting High-Frequency Components | 18 | eccv | 1 | 1 | 2023-06-17 00:59:04.067000 | https://github.com/jiawangbai/HAT | 35 | Improving vision transformers by revisiting high-frequency components | https://scholar.google.com/scholar?cluster=13058287836488105152&hl=en&as_sdt=0,43 | 1 | 2,022 |
Recurrent Bilinear Optimization for Binary Neural Networks | 8 | eccv | 3 | 1 | 2023-06-17 00:59:04.279000 | https://github.com/stevetsui/rbonn | 14 | Recurrent bilinear optimization for binary neural networks | https://scholar.google.com/scholar?cluster=1062882900912061420&hl=en&as_sdt=0,31 | 2 | 2,022 |
Neural Architecture Search for Spiking Neural Networks | 36 | eccv | 4 | 1 | 2023-06-17 00:59:04.493000 | https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks | 37 | Neural architecture search for spiking neural networks | https://scholar.google.com/scholar?cluster=14056363702522066850&hl=en&as_sdt=0,11 | 3 | 2,022 |
DaViT: Dual Attention Vision Transformers | 70 | eccv | 21 | 10 | 2023-06-17 00:59:04.705000 | https://github.com/dingmyu/davit | 232 | Davit: Dual attention vision transformers | https://scholar.google.com/scholar?cluster=18356109755771918503&hl=en&as_sdt=0,33 | 4 | 2,022 |
Locality Guidance for Improving Vision Transformers on Tiny Datasets | 14 | eccv | 4 | 4 | 2023-06-17 00:59:04.918000 | https://github.com/lkhl/tiny-transformers | 57 | Locality guidance for improving vision transformers on tiny datasets | https://scholar.google.com/scholar?cluster=1932755719966764406&hl=en&as_sdt=0,39 | 2 | 2,022 |
Neighborhood Collective Estimation for Noisy Label Identification and Correction | 1 | eccv | 0 | 1 | 2023-06-17 00:59:05.131000 | https://github.com/lijichang/lnl-nce | 16 | Neighborhood Collective Estimation for Noisy Label Identification and Correction | https://scholar.google.com/scholar?cluster=13078572582755547739&hl=en&as_sdt=0,33 | 2 | 2,022 |
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay | 21 | eccv | 0 | 0 | 2023-06-17 00:59:05.342000 | https://github.com/liuh127/FSCIL-via-Entropy-regularized-DF-Replay | 1 | Few-shot class-incremental learning via entropy-regularized data-free replay | https://scholar.google.com/scholar?cluster=15183012276771104173&hl=en&as_sdt=0,5 | 1 | 2,022 |
Anti-Retroactive Interference for Lifelong Learning | 6 | eccv | 0 | 0 | 2023-06-17 00:59:05.554000 | https://github.com/bhrqw/ari | 1 | Anti-retroactive interference for lifelong learning | https://scholar.google.com/scholar?cluster=18400262451722000159&hl=en&as_sdt=0,5 | 1 | 2,022 |
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning | 2 | eccv | 0 | 0 | 2023-06-17 00:59:05.767000 | https://github.com/vipailab/vmf_op | 3 | Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning | https://scholar.google.com/scholar?cluster=4493883076310837040&hl=en&as_sdt=0,5 | 2 | 2,022 |
Learning Hierarchy Aware Features for Reducing Mistake Severity | 3 | eccv | 4 | 1 | 2023-06-17 00:59:05.979000 | https://github.com/07agarg/haf | 9 | Learning Hierarchy Aware Features for Reducing Mistake Severity | https://scholar.google.com/scholar?cluster=971311656327419537&hl=en&as_sdt=0,33 | 2 | 2,022 |
Registration Based Few-Shot Anomaly Detection | 21 | eccv | 31 | 2 | 2023-06-17 00:59:06.194000 | https://github.com/mediabrain-sjtu/regad | 200 | Registration based few-shot anomaly detection | https://scholar.google.com/scholar?cluster=16013575763975073067&hl=en&as_sdt=0,5 | 7 | 2,022 |
Improving Robustness by Enhancing Weak Subnets | 7 | eccv | 0 | 0 | 2023-06-17 00:59:06.406000 | https://github.com/guoyongcs/ews | 5 | Improving robustness by enhancing weak subnets | https://scholar.google.com/scholar?cluster=8577974336579117564&hl=en&as_sdt=0,31 | 2 | 2,022 |
Learning Invariant Visual Representations for Compositional Zero-Shot Learning | 7 | eccv | 0 | 1 | 2023-06-17 00:59:06.618000 | https://github.com/pris-cv/ivr | 9 | Learning Invariant Visual Representations for Compositional Zero-Shot Learning | https://scholar.google.com/scholar?cluster=1973890546224229201&hl=en&as_sdt=0,5 | 1 | 2,022 |
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality | 2 | eccv | 1 | 0 | 2023-06-17 00:59:06.831000 | https://github.com/kingjamessong/orthoimprovecond | 11 | Improving covariance conditioning of the svd meta-layer by orthogonality | https://scholar.google.com/scholar?cluster=8121098635905344083&hl=en&as_sdt=0,5 | 1 | 2,022 |
Out-of-Distribution Detection with Semantic Mismatch under Masking | 2 | eccv | 0 | 3 | 2023-06-17 00:59:07.044000 | https://github.com/cure-lab/moodcat | 10 | Out-of-distribution detection with semantic mismatch under masking | https://scholar.google.com/scholar?cluster=14717717824800977283&hl=en&as_sdt=0,23 | 3 | 2,022 |
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion | 2 | eccv | 0 | 0 | 2023-06-17 00:59:07.255000 | https://github.com/zhengqigao/learning-from-multiple-annotator-noisy-labels | 5 | Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion | https://scholar.google.com/scholar?cluster=11390547638368533077&hl=en&as_sdt=0,21 | 2 | 2,022 |
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels | 10 | eccv | 2 | 0 | 2023-06-17 00:59:07.468000 | https://github.com/correr-zhou/spml-acktheunknown | 33 | Acknowledging the unknown for multi-label learning with single positive labels | https://scholar.google.com/scholar?cluster=17743437837322413809&hl=en&as_sdt=0,33 | 3 | 2,022 |
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers | 26 | eccv | 49 | 4 | 2023-06-17 00:59:07.680000 | https://github.com/Westlake-AI/openmixup | 424 | Automix: Unveiling the power of mixup for stronger classifiers | https://scholar.google.com/scholar?cluster=9530153125775586763&hl=en&as_sdt=0,5 | 15 | 2,022 |
MaxViT: Multi-axis Vision Transformer | 112 | eccv | 25 | 5 | 2023-06-17 00:59:07.892000 | https://github.com/google-research/maxvit | 348 | Maxvit: Multi-axis vision transformer | https://scholar.google.com/scholar?cluster=6784655767122395745&hl=en&as_sdt=0,5 | 9 | 2,022 |
ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer | 19 | eccv | 2 | 2 | 2023-06-17 00:59:08.105000 | https://github.com/yangr116/scalablevit | 20 | Scalablevit: Rethinking the context-oriented generalization of vision transformer | https://scholar.google.com/scholar?cluster=15849292167912948189&hl=en&as_sdt=0,5 | 3 | 2,022 |
Three Things Everyone Should Know about Vision Transformers | 14 | eccv | 516 | 12 | 2023-06-17 00:59:08.318000 | https://github.com/facebookresearch/deit | 3,450 | Three things everyone should know about vision transformers | https://scholar.google.com/scholar?cluster=15397703108844303764&hl=en&as_sdt=0,33 | 48 | 2,022 |
DeiT III: Revenge of the ViT | 83 | eccv | 516 | 12 | 2023-06-17 00:59:08.531000 | https://github.com/facebookresearch/deit | 3,450 | Deit iii: Revenge of the vit | https://scholar.google.com/scholar?cluster=11150465244321733349&hl=en&as_sdt=0,5 | 48 | 2,022 |
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition | 14 | eccv | 10 | 0 | 2023-06-17 00:59:08.743000 | https://github.com/winycg/self-kd-lib | 77 | Mixskd: Self-knowledge distillation from mixup for image recognition | https://scholar.google.com/scholar?cluster=5982918587312837241&hl=en&as_sdt=0,43 | 1 | 2,022 |
Discrete-Constrained Regression for Local Counting Models | 9 | eccv | 0 | 0 | 2023-06-17 00:59:08.955000 | https://github.com/xhp-hust-2018-2011/dcreg | 2 | Discrete-constrained regression for local counting models | https://scholar.google.com/scholar?cluster=13535548194896123886&hl=en&as_sdt=0,44 | 1 | 2,022 |
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection | 0 | eccv | 0 | 1 | 2023-06-17 00:59:09.186000 | https://github.com/daoyuan98/odm | 5 | Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection | https://scholar.google.com/scholar?cluster=6938034604533754380&hl=en&as_sdt=0,5 | 2 | 2,022 |
A Fast Knowledge Distillation Framework for Visual Recognition | 12 | eccv | 25 | 1 | 2023-06-17 00:59:09.398000 | https://github.com/szq0214/fkd | 141 | A fast knowledge distillation framework for visual recognition | https://scholar.google.com/scholar?cluster=16290481641411763390&hl=en&as_sdt=0,5 | 8 | 2,022 |
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