Computer Vision - ECCV 2022 (Record no. 86773)

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001 - CONTROL NUMBER
control field 978-3-031-20044-1
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730170154.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031200441
-- 978-3-031-20044-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-20044-1
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 XX /
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. 212 illus., 205 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 13680
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note tSF: Transformer-Based Semantic Filter for Few-Shot Learning -- Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification -- Constructing Balance from Imbalance for Long-Tailed Image Recognition -- On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond -- Few-Shot Video Object Detection -- Worst Case Matters for Few-Shot Recognition -- Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification -- Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation -- Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation -- Rethinking Clustering-Based Pseudo Labeling for Unsupervised Meta-Learning -- CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition -- Few-Shot Class-Incremental Learning for 3D Point Cloud Objects -- Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions -- DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment -- Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning -- Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding -- Few-Shot Classification with Contrastive Learning -- Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection -- Self-Promoted Supervision for Few-Shot Transformer -- Few-Shot Object Counting and Detection -- Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark -- Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations -- Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection -- Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation -- Improving Few-Shot Learning through Multi-task Representation Learning Theory -- Tree Structure-Aware Few Shot Image Classification via Hierarchical Aggregation -- Inductive and Transductive Few Shot Video Classification via Appearance and Temporal Alignments -- Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning -- HM: Hybrid Masking for Few-Shot Segmentation -- TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning -- Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning -- "This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations -- CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS -- Streamable Neural Fields -- Gradient-Based Uncertainty for Monocular Depth Estimation -- Online Continual Learning with Contrastive Vision Transformer -- CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution -- EAutoDet: Efficient Architecture Search for Object Detection -- A Max-Flow Based Approach for Neural Architecture Search -- OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses -- ERA: Enhanced Rational Activations -- Convolutional Embedding Makes Hierarchical Vision Transformer Stronger.
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) 92298
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Data processing.
9 (RLIN) 82607
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 92299
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
9 (RLIN) 3953
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 1831
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 92300
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers and Education.
9 (RLIN) 41129
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 92301
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
9 (RLIN) 31568
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 1831
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Avidan, Shai.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 92302
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brostow, Gabriel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 92303
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cissé, Moustapha.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 92304
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) 92305
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassner, Tal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 92306
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 92307
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200434
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200458
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13680
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-20044-1">https://doi.org/10.1007/978-3-031-20044-1</a>
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Koha item type eBooks-Lecture Notes in CS

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