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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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