Computer Vision - ECCV 2022

Language: English

Published by Springer, Springer Okt 2022, 2022

3031198026 / 9783031198021

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 816 pp. Englisch.

Seller Inventory # 9783031198021

Title
Computer Vision - ECCV 2022
Author
Shai Avidan
Publisher
Springer, Springer Okt 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031198026
ISBN 13
9783031198021
Item weight
1,212 grams
Dimensions
235x155x44 mm

buchversandmimpf2000

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