Computer Vision – ECCV 2022 (Record no. 174125)
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| fixed length control field | 06833nam a22006735i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-19775-8 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125105.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| fixed length control field | 221022s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031197758 |
| -- | 978-3-031-19775-8 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-19775-8 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Computer Vision – ECCV 2022 |
| Medium | [electronic resource] : |
| Remainder of title | 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XII / |
| Statement of responsibility, etc | edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | LVII, 757 p. 268 illus., 260 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/sequential designation | 13672 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Social sciences |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Pattern recognition systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Engineering and Networks. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Application in Social and Behavioral Sciences. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Automated Pattern Recognition. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Avidan, Shai. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Brostow, Gabriel. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cissé, Moustapha. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Farinella, Giovanni Maria. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hassner, Tal. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031197741 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031197765 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| -- | 1611-3349 ; |
| Volume number/sequential designation | 13672 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-19775-8">https://doi.org/10.1007/978-3-031-19775-8</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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