Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization
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   Chapter 2 BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks
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   Chapter 3 You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
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   Chapter 4 Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
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   Chapter 5 FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks
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   Chapter 6 Theoretical Understanding of the Information Flow on Continual Learning Performance
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   Chapter 7 Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
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   Chapter 8 On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
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    Chapter 9 LANA: Latency Aware Network Acceleration
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    Chapter 10 RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
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    Chapter 11 U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
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    Chapter 12 PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization
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    Chapter 13 Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
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    Chapter 14 Understanding the Dynamics of DNNs Using Graph Modularity
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    Chapter 15 Latent Discriminant Deterministic Uncertainty
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    Chapter 16 Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
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    Chapter 17 HIVE: Evaluating the Human Interpretability of Visual Explanations
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    Chapter 18 BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
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    Chapter 20 No Token Left Behind: Explainability-Aided Image Classification and Generation
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    Chapter 21 Interpretable Image Classification with Differentiable Prototypes Assignment
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    Chapter 22 Contributions of Shape, Texture, and Color in Visual Recognition
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    Chapter 23 STEEX: Steering Counterfactual Explanations with Semantics
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    Chapter 24 Are Vision Transformers Robust to Patch Perturbations?
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    Chapter 25 A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations
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    Chapter 26 Cartoon Explanations of Image Classifiers
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    Chapter 27 Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value
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    Chapter 28 Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
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    Chapter 29 Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
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    Chapter 30 Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing
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    Chapter 31 On Mitigating Hard Clusters for Face Clustering
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    Chapter 32 OneFace: One Threshold for All
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    Chapter 33 Label2Label: A Language Modeling Framework for Multi-attribute Learning
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    Chapter 34 AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics
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    Chapter 35 Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection
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    Chapter 36 Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces
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    Chapter 37 Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
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    Chapter 38 Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions
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    Chapter 39 Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
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    Chapter 40 CoupleFace: Relation Matters for Face Recognition Distillation
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    Chapter 41 Controllable and Guided Face Synthesis for Unconstrained Face Recognition
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    Chapter 42 Towards Robust Face Recognition with Comprehensive Search
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    Chapter 43 Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian