Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Active Label Correction Using Robust Parameter Update and Entropy Propagation
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   Chapter 2 Unpaired Image Translation via Vector Symbolic Architectures
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   Chapter 3 UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
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   Chapter 4 AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers
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   Chapter 5 TinyViT: Fast Pretraining Distillation for Small Vision Transformers
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   Chapter 6 Equivariant Hypergraph Neural Networks
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   Chapter 7 ScaleNet: Searching for the Model to Scale
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   Chapter 8 Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
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    Chapter 9 ViTAS: Vision Transformer Architecture Search
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    Chapter 10 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
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    Chapter 11 Uncertainty-DTW for Time Series and Sequences
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    Chapter 13 Revisiting Batch Norm Initialization
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    Chapter 14 SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling
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    Chapter 15 Filter Pruning via Feature Discrimination in Deep Neural Networks
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    Chapter 16 LA3: Efficient Label-Aware AutoAugment
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    Chapter 17 Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
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    Chapter 18 BA-Net: Bridge Attention for Deep Convolutional Neural Networks
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    Chapter 19 SAU: Smooth Activation Function Using Convolution with Approximate Identities
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    Chapter 20 Multi-Exit Semantic Segmentation Networks
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    Chapter 21 Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks
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    Chapter 22 PointScatter : Point Set Representation for Tubular Structure Extraction
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    Chapter 23 Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
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    Chapter 24 Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation
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    Chapter 25 Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
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    Chapter 26 Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
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    Chapter 27 Personalizing Federated Medical Image Segmentation via Local Calibration
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    Chapter 28 One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
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    Chapter 29 Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization
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    Chapter 30 Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
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    Chapter 31 ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
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    Chapter 32 CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
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    Chapter 34 DLME: Deep Local-Flatness Manifold Embedding
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    Chapter 35 Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching
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    Chapter 36 Graph Neural Network for Cell Tracking in Microscopy Videos
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    Chapter 37 CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation
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    Chapter 38 Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels
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    Chapter 39 k -SALSA: k -Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment
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    Chapter 40 RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification
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    Chapter 42 Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis
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    Chapter 43 Towards Grand Unification of Object Tracking