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Computer Vision – ECCV 2018

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Table of Contents

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    Book Overview
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    Chapter 1 Convolutional Networks with Adaptive Inference Graphs
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    Chapter 2 Progressive Neural Architecture Search
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    Chapter 3 Diverse Image-to-Image Translation via Disentangled Representations
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    Chapter 4 Lifting Layers: Analysis and Applications
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    Chapter 5 Learning with Biased Complementary Labels
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    Chapter 6 Semi-convolutional Operators for Instance Segmentation
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    Chapter 7 Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
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    Chapter 8 Fictitious GAN: Training GANs with Historical Models
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    Chapter 9 Bi-box Regression for Pedestrian Detection and Occlusion Estimation
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    Chapter 10 C-WSL: Count-Guided Weakly Supervised Localization
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    Chapter 11 Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
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    Chapter 12 Product Quantization Network for Fast Image Retrieval
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    Chapter 13 Cross-Modal Hamming Hashing
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    Chapter 14 Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network
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    Chapter 15 Semi-dense 3D Reconstruction with a Stereo Event Camera
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    Chapter 16 Self-Calibrating Isometric Non-Rigid Structure-from-Motion
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    Chapter 17 Semi-supervised Deep Learning with Memory
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    Chapter 18 Deep Fundamental Matrix Estimation
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    Chapter 19 TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
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    Chapter 20 StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
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    Chapter 21 Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation
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    Chapter 22 Multi-fiber Networks for Video Recognition
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    Chapter 23 Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
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    Chapter 24 Zero-Shot Object Detection
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    Chapter 25 A Modulation Module for Multi-task Learning with Applications in Image Retrieval
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    Chapter 26 Fast and Accurate Intrinsic Symmetry Detection
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    Chapter 27 Objects that Sound
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    Chapter 28 Deblurring Natural Image Using Super-Gaussian Fields
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    Chapter 29 Question-Guided Hybrid Convolution for Visual Question Answering
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    Chapter 30 Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection
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    Chapter 31 Unpaired Image Captioning by Language Pivoting
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    Chapter 32 Efficient Uncertainty Estimation for Semantic Segmentation in Videos
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    Chapter 33 Person Search by Multi-Scale Matching
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    Chapter 34 A Hybrid Model for Identity Obfuscation by Face Replacement
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    Chapter 35 The Sound of Pixels
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    Chapter 36 Adaptive Affinity Fields for Semantic Segmentation
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    Chapter 37 ReenactGAN: Learning to Reenact Faces via Boundary Transfer
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    Chapter 38 Learning to Anonymize Faces for Privacy Preserving Action Detection
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    Chapter 39 Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos
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    Chapter 40 Neural Graph Matching Networks for Fewshot 3D Action Recognition
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    Chapter 41 Graph R-CNN for Scene Graph Generation
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    Chapter 42 Deep Cross-Modal Projection Learning for Image-Text Matching
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    Chapter 43 ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
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    Chapter 44 Inner Space Preserving Generative Pose Machine
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    Chapter 45 Attention-Based Ensemble for Deep Metric Learning
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    Chapter 46 Learning Compression from Limited Unlabeled Data
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    Chapter 47 Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
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    Chapter 48 Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation
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    Chapter 49 Temporal Relational Reasoning in Videos
Attention for Chapter 5: Learning with Biased Complementary Labels
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Chapter title
Learning with Biased Complementary Labels
Chapter number 5
Book title
Computer Vision – ECCV 2018
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01246-5_5
Book ISBNs
978-3-03-001245-8, 978-3-03-001246-5
Authors

Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao, Yu, Xiyu, Liu, Tongliang, Gong, Mingming, Tao, Dacheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 24%
Student > Master 29 20%
Researcher 15 10%
Student > Bachelor 7 5%
Student > Postgraduate 6 4%
Other 13 9%
Unknown 38 27%
Readers by discipline Count As %
Computer Science 83 58%
Engineering 14 10%
Mathematics 3 2%
Agricultural and Biological Sciences 1 <1%
Nursing and Health Professions 1 <1%
Other 2 1%
Unknown 39 27%