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Computer Vision – ECCV 2020

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Table of Contents

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    Book Overview
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    Chapter 1 BLSM: A Bone-Level Skinned Model of the Human Mesh
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    Chapter 2 Associative Alignment for Few-Shot Image Classification
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    Chapter 3 Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes
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    Chapter 4 View-Invariant Probabilistic Embedding for Human Pose
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    Chapter 5 Contact and Human Dynamics from Monocular Video
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    Chapter 6 PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation
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    Chapter 7 Points2Surf Learning Implicit Surfaces from Point Clouds
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    Chapter 8 Few-Shot Scene-Adaptive Anomaly Detection
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    Chapter 9 Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
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    Chapter 10 Entropy Minimisation Framework for Event-Based Vision Model Estimation
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    Chapter 11 Reconstructing NBA Players
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    Chapter 12 PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
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    Chapter 13 TENet: Triple Excitation Network for Video Salient Object Detection
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    Chapter 14 Deep Feedback Inverse Problem Solver
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    Chapter 15 Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification
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    Chapter 16 Hallucinating Visual Instances in Total Absentia
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    Chapter 17 Weakly-Supervised 3D Shape Completion in the Wild
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    Chapter 18 DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image
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    Chapter 19 CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss
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    Chapter 20 Collaborative Video Object Segmentation by Foreground-Background Integration
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    Chapter 21 Adaptive Margin Diversity Regularizer for Handling Data Imbalance in Zero-Shot SBIR
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    Chapter 22 ETH-XGaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation
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    Chapter 23 Calibration-Free Structure-from-Motion with Calibrated Radial Trifocal Tensors
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    Chapter 24 Occupancy Anticipation for Efficient Exploration and Navigation
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    Chapter 25 Unified Image and Video Saliency Modeling
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    Chapter 26 TAO: A Large-Scale Benchmark for Tracking Any Object
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    Chapter 27 A Generalization of Otsu’s Method and Minimum Error Thresholding
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    Chapter 28 A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks
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    Chapter 29 Big Transfer (BiT): General Visual Representation Learning
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    Chapter 30 VisualCOMET: Reasoning About the Dynamic Context of a Still Image
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    Chapter 31 Few-Shot Action Recognition with Permutation-Invariant Attention
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    Chapter 32 Character Grounding and Re-identification in Story of Videos and Text Descriptions
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    Chapter 33 AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling
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    Chapter 34 Learning Visual Context by Comparison
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    Chapter 35 Large Scale Holistic Video Understanding
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    Chapter 36 Indirect Local Attacks for Context-Aware Semantic Segmentation Networks
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    Chapter 37 Predicting Visual Overlap of Images Through Interpretable Non-metric Box Embeddings
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    Chapter 38 Connecting Vision and Language with Localized Narratives
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    Chapter 39 Adversarial T-Shirt! Evading Person Detectors in a Physical World
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    Chapter 40 Bounding-Box Channels for Visual Relationship Detection
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    Chapter 41 Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
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    Chapter 42 SRFlow: Learning the Super-Resolution Space with Normalizing Flow
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    Chapter 43 DeepGMR: Learning Latent Gaussian Mixture Models for Registration
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    Chapter 44 Active Perception Using Light Curtains for Autonomous Driving
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    Chapter 45 Invertible Neural BRDF for Object Inverse Rendering
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    Chapter 46 Semi-supervised Semantic Segmentation via Strong-Weak Dual-Branch Network
Attention for Chapter 29: Big Transfer (BiT): General Visual Representation Learning
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Chapter title
Big Transfer (BiT): General Visual Representation Learning
Chapter number 29
Book title
Computer Vision – ECCV 2020
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-58558-7_29
Book ISBNs
978-3-03-058557-0, 978-3-03-058558-7
Authors

Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby, Kolesnikov, Alexander, Beyer, Lucas, Zhai, Xiaohua, Puigcerver, Joan, Yung, Jessica, Gelly, Sylvain, Houlsby, Neil

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 940 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 940 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 192 20%
Student > Master 142 15%
Researcher 124 13%
Student > Bachelor 64 7%
Other 41 4%
Other 58 6%
Unknown 319 34%
Readers by discipline Count As %
Computer Science 430 46%
Engineering 96 10%
Agricultural and Biological Sciences 10 1%
Medicine and Dentistry 10 1%
Mathematics 10 1%
Other 48 5%
Unknown 336 36%