Computer Vision - ACCV 2020 (Record no. 86015)
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fixed length control field | 06571nam a22006375i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-69538-5 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730164946.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210224s2021 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783030695385 |
-- | 978-3-030-69538-5 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-030-69538-5 |
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 - ACCV 2020 |
Medium | [electronic resource] : |
Remainder of title | 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV / |
Statement of responsibility, etc. | edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2021. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cham : |
Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XVIII, 715 p. 284 illus., 278 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 | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
International Standard Serial Number | 3004-9954 ; |
Volume/sequential designation | 12625 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Deep Learning for Computer Vision -- In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization -- Exploiting Transferable Knowledge for Fairness-aware Image Classification -- Introspective Learning by Distilling Knowledge from Online Self-explanation -- Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity -- Meta-Learning with Context-Agnostic Initialisations -- Second Order enhanced Multi-glimpse Attention in Visual Question Answering -- Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection -- Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes -- Part-aware Attention Network for Person Re-Identification -- Image Captioning through Image Transformer -- Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration -- Learn more, forget less: Cues from human brain -- Knowledge Transfer Graph for Deep Collaborative Learning -- Regularizing Meta-Learning via Gradient Dropout -- Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks -- Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed -- Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation -- Double Targeted Universal Adversarial Perturbations -- Adversarially Robust Deep Image Super-Resolution using Entropy Regularization -- Online Knowledge Distillation via Multi-branch Diversity Enhancement -- Rotation Equivariant Orientation Estimation for Omnidirectional Localization -- Contextual Semantic Interpretability -- Few-Shot Object Detection by Second-order Pooling -- Depth-Adapted CNN for RGB-D cameras -- Generative Models for Computer Vision -- Over-exposure Correction via Exposure and Scene Information Disentanglement -- Novel-View Human Action Synthesis -- Augmentation Network for Generalised Zero-Shot Learning -- Local Facial Makeup Transfer via Disentangled Representation -- OpenGAN: Open Set Generative Adversarial Networks -- CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation -- TinyGAN: Distilling BigGAN for Conditional Image Generation -- A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings -- RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation -- GAN-based Noise Model for Denoising Real Images -- Emotional Landscape Image Generation Using Generative Adversarial Networks -- Feedback Recurrent Autoencoder for Video Compression -- MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network -- DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution -- dpVAEs: Fixing Sample Generation for Regularized VAEs -- MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network -- EvolGAN: Evolutionary Generative Adversarial Networks -- Sequential View Synthesis with Transformer. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer vision. |
9 (RLIN) | 86840 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence. |
9 (RLIN) | 3407 |
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 | Pattern recognition systems. |
9 (RLIN) | 3953 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Application software. |
9 (RLIN) | 86843 |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Vision. |
9 (RLIN) | 86844 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial Intelligence. |
9 (RLIN) | 3407 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Engineering and Networks. |
9 (RLIN) | 86846 |
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 | Computer and Information Systems Applications. |
9 (RLIN) | 86848 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Ishikawa, Hiroshi. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 29891 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Liu, Cheng-Lin. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 86850 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Pajdla, Tomas. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 86852 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Shi, Jianbo. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 86853 |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
9 (RLIN) | 86856 |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783030695378 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783030695392 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
International Standard Serial Number | 3004-9954 ; |
Volume/sequential designation | 12625 |
9 (RLIN) | 86857 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-69538-5">https://doi.org/10.1007/978-3-030-69538-5</a> |
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912 ## - | |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-Lecture Notes in CS |
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