Cantitate/Preț
Produs

Computer Vision – ACCV 2018 Workshops: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers: Lecture Notes in Computer Science, cartea 11367

Editat de Gustavo Carneiro, Shaodi You
en Limba Engleză Paperback – 19 iun 2019
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).
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 52369 lei

Preț vechi: 65461 lei
-20% Nou

Puncte Express: 786

Preț estimativ în valută:
9267 10867$ 8138£

Carte tipărită la comandă

Livrare economică 04-18 februarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030210731
ISBN-10: 3030210731
Pagini: 528
Ilustrații: XV, 541 p. 260 illus., 230 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.78 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Cuprins

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).