Computer vision - ECCV 2022 = 17th E...
European Conference on Computer Vision (2022 :)

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  • Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part XII /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
    Reminder of title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
    other author: Avidan, Shai.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: lvii, 757 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization -- BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks -- You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding -- Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks -- FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks -- Theoretical Understanding of the Information Flow on Continual Learning Performance -- Exploring Lottery Ticket Hypothesis in Spiking Neural Networks -- On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network -- LANA: Latency Aware Network Acceleration -- RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization -- U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search -- PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization -- Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach -- Understanding the Dynamics of DNNs Using Graph Modularity -- Latent Discriminant Deterministic Uncertainty -- Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals -- HIVE: Evaluating the Human Interpretability of Visual Explanations -- BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks -- SESS: Saliency Enhancing with Scaling and Sliding -- No Token Left Behind: Explainability-Aided Image Classification and Generation -- Interpretable Image Classification with Differentiable Prototypes Assignment -- Contributions of Shape, Texture, and Color in Visual Recognition -- STEEX: Steering Counterfactual Explanations with Semantics -- Are Vision Transformers Robust to Patch Perturbations? -- A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations -- Cartoon Explanations of Image Classifiers -- Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value -- Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain -- Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast -- Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing -- On Mitigating Hard Clusters for Face Clustering -- OneFace: One Threshold for All -- Label2Label: A Language Modeling Framework for Multi Attribute Learning -- AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics -- Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection -- Rethinking Robust Representation Learning under Fine-Grained Noisy Faces -- Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition -- Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions -- Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis -- CoupleFace: Relation Matters for Face Recognition Distillation -- Controllable and Guided Face Synthesis for Unconstrained Face Recognition -- Towards Robust Face Recognition with Comprehensive Search -- Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-19775-8
    ISBN: 9783031197758
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