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pro vyhledávání: '"Thota, Mamatha"'
Humans and animals have the ability to continuously learn new information over their lifetime without losing previously acquired knowledge. However, artificial neural networks struggle with this due to new information conflicting with old knowledge,
Externí odkaz:
http://arxiv.org/abs/2211.09027
Autor:
Thota, Mamatha, Leontidis, Georgios
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 2209-2218
Recently, contrastive self-supervised learning has become a key component for learning visual representations across many computer vision tasks and benchmarks. However, contrastive learning in the context of domain adaptation remains largely underexp
Externí odkaz:
http://arxiv.org/abs/2103.15566
Retail food packaging contains information which informs choice and can be vital to consumer health, including product name, ingredients list, nutritional information, allergens, preparation guidelines, pack weight, storage and shelf life information
Externí odkaz:
http://arxiv.org/abs/2001.10335
Publikováno v:
In Knowledge-Based Systems 4 November 2023 279
Publikováno v:
In Computers in Industry December 2020 123
Akademický článek
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Autor:
Gong, Liyun, Thota, Mamatha, Yu, Miao, Duan, Wenting, Swainson, Mark, Ye, Xujiong, Kollias, Stefanos
Publikováno v:
Signal, Image & Video Processing; Apr2021, Vol. 15 Issue 3, p449-457, 9p