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Active Label Correction Using Robust Parameter Update and Entropy Propagation
Unpaired Image Translation via Vector Symbolic Architectures
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
Equivariant Hypergraph Neural Networks
ScaleNet: Searching for the Model to Scale
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
ViTAS: Vision Transformer Architecture Search
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Uncertainty-DTW for Time Series and Sequences
Black-Box Few-Shot Knowledge Distillation
Revisiting Batch Norm Initialization
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling
Filter Pruning via Feature Discrimination in Deep Neural Networks
LA3: Efficient Label-Aware AutoAugment
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
BA-Net: Bridge Attention for Deep Convolutional Neural Networks
SAU: Smooth Activation Function Using Convolution with Approximate Identities
Multi-Exit Semantic Segmentation Networks
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
PointScatter: Point Set Representation for Tubular Structure Extraction
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
Personalizing Federated Medical Image Segmentation via Local Calibration
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
DLME: Deep Local-Flatness Manifold Embedding
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
Graph Neural Network for Cell Tracking in Microscopy Videos
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis
Towards Grand Unification of Object Tracking.
Unpaired Image Translation via Vector Symbolic Architectures
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
Equivariant Hypergraph Neural Networks
ScaleNet: Searching for the Model to Scale
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
ViTAS: Vision Transformer Architecture Search
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Uncertainty-DTW for Time Series and Sequences
Black-Box Few-Shot Knowledge Distillation
Revisiting Batch Norm Initialization
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling
Filter Pruning via Feature Discrimination in Deep Neural Networks
LA3: Efficient Label-Aware AutoAugment
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
BA-Net: Bridge Attention for Deep Convolutional Neural Networks
SAU: Smooth Activation Function Using Convolution with Approximate Identities
Multi-Exit Semantic Segmentation Networks
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
PointScatter: Point Set Representation for Tubular Structure Extraction
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
Personalizing Federated Medical Image Segmentation via Local Calibration
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
DLME: Deep Local-Flatness Manifold Embedding
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
Graph Neural Network for Cell Tracking in Microscopy Videos
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis
Towards Grand Unification of Object Tracking.