TY  - GEN
N2  - This 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. The 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.
DO  - 10.1007/978-3-031-27066-6
DO  - doi
AB  - This 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. The 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.
T1  - Computer vision - ACCV 2022 workshops :16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, revised selected papers /
AU  - Zheng, Yinqiang,
AU  - Keleş, Hacer Yalim,
AU  - Koniusz, Piotr,
VL  - 13848
CN  - TA1634
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1461435
KW  - Computer vision
SN  - 9783031270666
SN  - 3031270665
TI  - Computer vision - ACCV 2022 workshops :16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-27066-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-27066-6
ER  -