Computer Vision - ECCV 2022 (Record no. 89562)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-19806-9
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730174658.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031198069
-- 978-3-031-19806-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-19806-9
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 XXV /
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 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent LVI, 759 p. 224 illus., 216 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13685
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cross-Domain Ensemble Distillation for Domain Generalization -- Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels -- Hyperspherical Learning in Multi-Label Classification -- When Active Learning Meets Implicit Semantic Data Augmentation -- VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition -- Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization -- Hierarchical Semi-Supervised Contrastive Learning for ContaminationResistant Anomaly Detection -- Tracking by Associating Clips -- RealPatch: A Statistical Matching Framework for Model Patching with Real Samples -- Background-Insensitive Scene Text Recognition with Text Semantic Segmentation -- Semantic Novelty Detection via Relational Reasoning -- Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers -- TrainingVision Transformers with Only 2040 Images -- Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection -- TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs -- Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars -- Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain -- Photo-Realistic Neural Domain Randomization -- Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning -- Tailoring Self-Supervision for Supervised Learning -- Difficulty-Aware Simulator for Open Set Recognition -- Few-Shot Class-Incremental Learning from an Open-Set Perspective -- FOSTER: Feature Boosting and Compression for Class-Incremental Learning -- Visual Knowledge Tracing -- S3C: Self-Supervised Stochastic Classifiers for Few-Shot ClassIncremental Learning -- Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism -- VSA: Learning Varied-Size Window Attention in Vision Transformers -- Unbiased Manifold Augmentation for Coarse Class Subdivision -- DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition -- Rethinking Confidence Calibration for Failure Prediction -- Uncertainty-Guided Source-Free Domain Adaptation -- Should All Proposals Be Treated Equally in Object Detection? -- VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers -- incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection -- IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition -- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions -- Rotation Regularization without Rotation -- Towards Accurate Open-Set Recognition via Background-Class Regularization -- In Defense of Image Pre-trainingfor Spatiotemporal Recognition -- Augmenting Deep Classifiers with Polynomial Neural Networks -- Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection -- Online Task-Free Continual Learning with Dynamic Sparse Distributed Memory.
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 entry element Computer vision.
9 (RLIN) 113520
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 113521
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Avidan, Shai.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113522
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brostow, Gabriel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113523
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cissé, Moustapha.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113524
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farinella, Giovanni Maria.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0002-6034-0432
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113525
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassner, Tal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 113526
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 113527
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031198052
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031198076
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13685
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-19806-9">https://doi.org/10.1007/978-3-031-19806-9</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.