{"product_id":"9783031270659","title":"Lecture Notes in Computer Science: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Revised Selected Papers","description":"\u003ch1\u003eLecture Notes in Computer Science: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Revised Selected Papers\u003c\/h1\u003e \u003ch2\u003eZheng, Yinqiang; Keleş, Hacer Yalim; Koniusz, Piotr\u003c\/h2\u003e \u003cp\u003eThis book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. \u003c\/p\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003eThe 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.\u003cp\u003e\u003c\/p\u003e\n\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2023-03-09\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031270659\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-27066-6\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 378\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44806148358284,"sku":"9783031270659","price":76.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031270659.jpg?v=1774022507","url":"https:\/\/lateknightbooks.com\/products\/9783031270659","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}