Computer Vision - ECCV 2020 Workshops (Record no. 89917)

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001 - CONTROL NUMBER
control field 978-3-030-68238-5
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control field DE-He213
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control field 20240730175407.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030682385
-- 978-3-030-68238-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-68238-5
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 - ECCV 2020 Workshops
Medium [electronic resource] :
Remainder of title Glasgow, UK, August 23-28, 2020, Proceedings, Part V /
Statement of responsibility, etc. edited by Adrien Bartoli, Andrea Fusiello.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
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 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XXVIII, 752 p. 298 illus., 283 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 Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 12539
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note W27 - The 16th Embedded Vision Workshop -- Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions -- SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation -- Weight-dependent Gates for Differentiable Neural Network Pruning -- QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework -- An Efficient Method for Face Quality Assessment on the Edge -- Efficient Approximation of Filters for High-Accuracy Binary Convolutional Neural Networks -- One Weight Bitwidth to Rule Them All -- Real-time detection of multiple targets from a moving 360 panoramic imager in the wild -- Post Training Mixed-precision Quantization based on Key Layers Selection -- Subtensor Quantization for Mobilenets -- Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules -- W29 - Real-World Computer Vision from Inputs with Limited Quality (RLQ) -- Reinforcement Learning for Improving Object Detection -- Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels -- Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training -- What Does CNN Shift Invariance Look Like? A Visualization Study -- Challenges from Fast Camera Motion and Image Blur: Dataset and Evaluation -- Self-Supervised Attribute-Aware Re nement Network for Low-Quality Text Recognition -- Face Mask Invariant End-to-End Face Recognition -- Visible Feature Guidance for Crowd Pedestrian Detection -- The Impact of Real Rain in a Vision Task -- Hard Occlusions in Visual Object Tracking -- The 1st Tiny Object Detection Challenge: Methods and Results -- Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection -- Exploring Effective Methods to Improve the Performance of Tiny Object Detection -- UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results -- A Dual Residual Network with Channel Attentionfor Image Restoration -- Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images -- Deep Atrous Guided Filter for Image Restoration in Under Display Cameras -- Residual and Dense UNet for Under-display Camera Restoration -- W31 - The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020) -- Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction -- Adversarial Training against Location-Optimized Adversarial Patches -- Revisiting the Threat Space for Vision-based Keystroke Inference Attacks -- Black-Box Face Recovery from Identity Features -- Privacy-Aware Face Recognition with Lensless Multi-Pinhole Camera -- Frequency-Tuned Universal Adversarial Perturbations -- Face-Image Source Generator Identification -- Spatio-Temporal Handwriting Imitation -- W32 - The Visual Object Tracking Challenge Workshop VOT2020 -- The Eighth Visual Object Tracking VOT2020 ChallengeResults -- Robust Long-Term Object Tracking via Improved Discriminative Model Prediction -- An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers -- AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline -- RPT: Learning Point Set Representation for Siamese Visual Tracking -- AFOD: Adaptive Focused Discriminative Segmentation Tracker -- Cascaded Tracking via Pyramid Dense Capsules -- W33 - Video Turing Test: Toward Human-Level Video Story Understanding -- GCF-Net: Gated Clip Fusion Network for Video Action Recognition -- Late Temporal Modeling in 3D CNNs with BERT.
520 ## - SUMMARY, ETC.
Summary, etc. The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 116630
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 1831
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) 116631
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 116632
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 1831
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) 116633
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Communication Networks.
9 (RLIN) 116634
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bartoli, Adrien.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116635
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fusiello, Andrea.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116636
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 116637
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030682378
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030682392
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 12539
9 (RLIN) 116638
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-68238-5">https://doi.org/10.1007/978-3-030-68238-5</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

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