Computer Vision - ECCV 2022 (Record no. 87055)

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001 - CONTROL NUMBER
control field 978-3-031-20083-0
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730170554.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 221102s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031200830
-- 978-3-031-20083-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-20083-0
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 XI /
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, 745 p. 231 illus., 215 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 13671
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note A Simple Approach and Benchmark for 21,000-Category Object Detection -- Knowledge Condensation Distillation -- Reducing Information Loss for Spiking Neural Networks -- Masked Generative Distillation -- Fine-Grained Data Distribution Alignment for Post-Training Quantization -- Learning with Recoverable Forgetting -- Efficient One Pass Self-Distillation with Zipf's Label Smoothing -- Prune Your Model before Distill It -- Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference -- Patch Similarity Aware Data-Free Quantization for Vision Transformers -- L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training -- Streaming Multiscale Deep Equilibrium Models -- Symmetry Regularization and Saturating Nonlinearity for Robust Quantization -- SP-Net: Slowly Progressing Dynamic Inference Networks -- Equivariance and Invariance Inductive Bias for Learning from Insufficient Data -- Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance -- Event Neural Networks -- EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers -- PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators -- Disentangled Differentiable Network Pruning -- IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors -- Learning to Weight Samples for Dynamic Early-Exiting Networks -- AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets -- Adaptive Token Sampling for Efficient Vision Transformers -- Weight Fixing Networks -- Self-Slimmed Vision Transformer -- Switchable Online Knowledge Distillation -- ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training -- Multi-Granularity Pruning for Model Acceleration on Mobile Devices -- Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification -- Helpful or Harmful: Inter-Task Association in Continual Learning -- Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies -- SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks -- Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning -- Network Binarization via Contrastive Learning -- Lipschitz Continuity Retained Binary Neural Network -- SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning -- Soft Masking for Cost-Constrained Channel Pruning -- Non-uniform Step Size Quantization for Accurate Post-Training Quantization -- SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning -- Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously -- Towards Ultra Low Latency Spiking Neural Networks for Visionand Sequential Tasks Using Temporal Pruning -- Towards Accurate Network Quantization with Equivalent Smooth Regularizer.
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) 94389
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers.
9 (RLIN) 8172
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer engineering.
9 (RLIN) 10164
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
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) 94393
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing Milieux.
9 (RLIN) 55441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
9 (RLIN) 94395
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
9 (RLIN) 94395
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) 94398
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brostow, Gabriel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 94399
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cissé, Moustapha.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 94402
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) 94403
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassner, Tal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 94404
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 94406
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200823
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200847
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13671
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-20083-0">https://doi.org/10.1007/978-3-031-20083-0</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.