Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Box-Supervised Instance Segmentation with Level Set Evolution
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   Chapter 2 Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
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   Chapter 3 Adaptive Agent Transformer for Few-Shot Segmentation
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   Chapter 4 Waymo Open Dataset: Panoramic Video Panoptic Segmentation
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   Chapter 5 TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation
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   Chapter 6 AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
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   Chapter 7 Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
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   Chapter 8 Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
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    Chapter 9 Perceptual Artifacts Localization for Inpainting
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    Chapter 10 2D Amodal Instance Segmentation Guided by 3D Shape Prior
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    Chapter 11 Data Efficient 3D Learner via Knowledge Transferred from 2D Model
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    Chapter 12 Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation
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    Chapter 13 Dense Gaussian Processes for Few-Shot Segmentation
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    Chapter 14 3D Instances as 1D Kernels
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    Chapter 15 TransMatting: Enhancing Transparent Objects Matting with Transformers
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    Chapter 16 MVSalNet: Multi-view Augmentation for RGB-D Salient Object Detection
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    Chapter 17 k -means Mask Transformer
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    Chapter 18 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
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    Chapter 19 Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation
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    Chapter 20 Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment
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    Chapter 21 Interclass Prototype Relation for Few-Shot Segmentation
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    Chapter 22 Slim Scissors: Segmenting Thin Object from Synthetic Background
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    Chapter 23 Abstracting Sketches Through Simple Primitives
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    Chapter 24 Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
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    Chapter 25 One-Trimap Video Matting
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    Chapter 26 $$\mathrm {D^2ADA}$$ D 2 ADA : Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation
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    Chapter 27 Learning Quality-aware Dynamic Memory for Video Object Segmentation
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    Chapter 28 Learning Implicit Feature Alignment Function for Semantic Segmentation
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    Chapter 29 Quantum Motion Segmentation
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    Chapter 30 Instance as Identity: A Generic Online Paradigm for Video Instance Segmentation
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    Chapter 31 Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation
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    Chapter 32 Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter
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    Chapter 33 Union-Set Multi-source Model Adaptation for Semantic Segmentation
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    Chapter 34 Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions
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    Chapter 35 BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
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    Chapter 36 SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
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    Chapter 37 Global Spectral Filter Memory Network for Video Object Segmentation
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    Chapter 38 Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer
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    Chapter 39 RankSeg : Adaptive Pixel Classification with Image Category Ranking for Segmentation
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    Chapter 40 Learning Topological Interactions for Multi-Class Medical Image Segmentation
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    Chapter 41 Unsupervised Segmentation in Real-World Images via Spelke Object Inference
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    Chapter 42 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model