Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Salient Object Detection for Point Clouds
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   Chapter 2 Learning Semantic Segmentation from Multiple Datasets with Label Shifts
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   Chapter 3 Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination
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   Chapter 4 Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning
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   Chapter 5 Variance-Aware Weight Initialization for Point Convolutional Neural Networks
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   Chapter 6 Break and Make: Interactive Structural Understanding Using LEGO Bricks
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   Chapter 7 Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
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   Chapter 8 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
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    Chapter 9 Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions
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    Chapter 10 MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud
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    Chapter 11 Scene Text Recognition with Permuted Autoregressive Sequence Models
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    Chapter 12 When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
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    Chapter 13 Detecting Tampered Scene Text in the Wild
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    Chapter 14 Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning
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    Chapter 15 GLASS: Global to Local Attention for Scene-Text Spotting
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    Chapter 16 COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts
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    Chapter 17 Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting
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    Chapter 18 Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition
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    Chapter 19 Levenshtein OCR
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    Chapter 20 Multi-granularity Prediction for Scene Text Recognition
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    Chapter 21 Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting
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    Chapter 22 Contextual Text Block Detection Towards Scene Text Understanding
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    Chapter 23 CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition
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    Chapter 24 Don’t Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context
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    Chapter 25 TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
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    Chapter 26 Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features
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    Chapter 27 SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition
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    Chapter 28 Pure Transformer with Integrated Experts for Scene Text Recognition
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    Chapter 29 OCR-Free Document Understanding Transformer
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    Chapter 30 CAR: Class-Aware Regularizations for Semantic Segmentation
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    Chapter 31 Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
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    Chapter 32 SeqFormer: Sequential Transformer for Video Instance Segmentation
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    Chapter 33 Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection
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    Chapter 34 In Defense of Online Models for Video Instance Segmentation
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    Chapter 35 Active Pointly-Supervised Instance Segmentation
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    Chapter 36 A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining
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    Chapter 37 XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
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    Chapter 38 Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving
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    Chapter 39 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
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    Chapter 40 Extract Free Dense Labels from CLIP
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    Chapter 41 3D Compositional Zero-Shot Learning with DeCompositional Consensus
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    Chapter 42 Video Mask Transfiner for High-Quality Video Instance Segmentation