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Computer Vision – ACCV 2018 Workshops [electronic resource] : 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11367Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XV, 541 p. 260 illus., 230 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030210748
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.37 23
LOC classification:
  • TA1634
Online resources:
Contents:
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).
In: Springer Nature eBookSummary: 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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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).

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