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Asian Conference on Computer Vision (2018 :)

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Computer vision - ACCV 2018 Workshops = 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer vision - ACCV 2018 Workshops/ edited by Gustavo Carneiro, Shaodi You.
Reminder of title:	14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018 : revised selected papers /
remainder title:	ACCV 2018
other author:	Carneiro, Gustavo.
corporate name:	Asian Conference on Computer Vision
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xv, 541 p. :ill., digital ;24 cm.
[NT 15003449]:	Scene Understanding and Modelling (SUMO) Challenge -- Learning and Inference Methods for High Performance Imaging (LIMHPI) -- Attention/Intention Understanding (AIU) -- Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning -- RGB-D - Sensing and Understanding via Combined Colour and Depth -- Dense 3D Reconstruction for Dynamic Scenes -- AI Aesthetics in Art and Media (AIAM) -- Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA) -- Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV)
Contained By:	Springer eBooks
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-21074-8
ISBN:	9783030210748

Computer vision - ACCV 2018 Workshops = 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018 : revised selected papers /
Computer vision - ACCV 2018 Workshops14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018 : revised selected papers /[electronic resource] :ACCV 2018edited by Gustavo Carneiro, Shaodi You. - Cham :Springer International Publishing :2019. - xv, 541 p. :ill., digital ;24 cm. - Lecture notes in computer science,113670302-9743 ;. - Lecture notes in computer science ;11367..

Scene Understanding and Modelling (SUMO) Challenge -- Learning and Inference Methods for High Performance Imaging (LIMHPI) -- Attention/Intention Understanding (AIU) -- Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning -- RGB-D - Sensing and Understanding via Combined Colour and Depth -- Dense 3D Reconstruction for Dynamic Scenes -- AI Aesthetics in Art and Media (AIAM) -- Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA) -- Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV)

This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV)

ISBN: 9783030210748

Standard No.: 10.1007/978-3-030-21074-8doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634 / .A85 2018

Dewey Class. No.: 006.37

Computer vision - ACCV 2018 Workshops = 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018 : revised selected papers /
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520 $a This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV)
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