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Computer Vision – ACCV 2020

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Table of Contents

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    Book Overview
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    Chapter 1 Query by Strings and Return Ranking Word Regions with Only One Look
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    Chapter 2 Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
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    Chapter 3 FootNet: An Efficient Convolutional Network for Multiview 3D Foot Reconstruction
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    Chapter 4 Synthetic-to-Real Domain Adaptation for Lane Detection
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    Chapter 5 RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations
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    Chapter 6 DoFNet: Depth of Field Difference Learning for Detecting Image Forgery
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    Chapter 7 Explaining Image Classifiers by Removing Input Features Using Generative Models
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    Chapter 8 Do We Need Sound for Sound Source Localization?
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    Chapter 9 Modular Graph Attention Network for Complex Visual Relational Reasoning
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    Chapter 10 CloTH-VTON: Clothing Three-Dimensional Reconstruction for Hybrid Image-Based Virtual Try-ON
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    Chapter 11 Multi-label X-Ray Imagery Classification via Bottom-Up Attention and Meta Fusion
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    Chapter 12 Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
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    Chapter 13 Sketch-to-Art: Synthesizing Stylized Art Images from Sketches
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    Chapter 14 Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation
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    Chapter 15 SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
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    Chapter 16 Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
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    Chapter 17 Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization
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    Chapter 19 Domain-Transferred Face Augmentation Network
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    Chapter 20 Pose Correction Algorithm for Relative Frames Between Keyframes in SLAM
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    Chapter 21 Dense-Scale Feature Learning in Person Re-identification
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    Chapter 22 Class-Incremental Learning with Rectified Feature-Graph Preservation
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    Chapter 23 Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation
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    Chapter 24 Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features
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    Chapter 25 Visually Guided Sound Source Separation Using Cascaded Opponent Filter Network
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    Chapter 26 Channel Recurrent Attention Networks for Video Pedestrian Retrieval
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    Chapter 27 In Defense of LSTMs for Addressing Multiple Instance Learning Problems
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    Chapter 28 Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
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    Chapter 29 Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information
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    Chapter 30 RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network
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    Chapter 31 Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning
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    Chapter 32 Compensating for the Lack of Extra Training Data by Learning Extra Representation
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    Chapter 33 Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
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    Chapter 34 OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
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    Chapter 35 Pre-training Without Natural Images
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    Chapter 36 TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
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    Chapter 37 A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera
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    Chapter 38 A Benchmark and Baseline for Language-Driven Image Editing
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    Chapter 39 Self-supervised Learning of Orc-Bert Augmentor for Recognizing Few-Shot Oracle Characters
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    Chapter 40 Understanding Motion in Sign Language: A New Structured Translation Dataset
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    Chapter 41 FreezeNet: Full Performance by Reduced Storage Costs
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Title
Computer Vision – ACCV 2020
Published by
Springer International Publishing, March 2021
DOI 10.1007/978-3-030-69544-6
ISBNs
978-3-03-069543-9, 978-3-03-069544-6
Editors

Ishikawa, Hiroshi, Liu, Cheng-Lin, Pajdla, Tomas, Shi, Jianbo