Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Kim, Kiyoon"'
Autor:
Kim, Kiyoon, Gowda, Shreyank N, Eustratiadis, Panagiotis, Antoniou, Antreas, Fisher, Robert B
Despite recent advances in video action recognition achieving strong performance on existing benchmarks, these models often lack robustness when faced with natural distribution shifts between training and test data. We propose two novel evaluation me
Externí odkaz:
http://arxiv.org/abs/2401.11406
Precisely naming the action depicted in a video can be a challenging and oftentimes ambiguous task. In contrast to object instances represented as nouns (e.g. dog, cat, chair, etc.), in the case of actions, human annotators typically lack a consensus
Externí odkaz:
http://arxiv.org/abs/2210.04933
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition
We address the problem of capturing temporal information for video classification in 2D networks, without increasing their computational cost. Existing approaches focus on modifying the architecture of 2D networks (e.g. by including filters in the te
Externí odkaz:
http://arxiv.org/abs/2201.10394
Autor:
Kim, Kiyoon1 (AUTHOR) anikest@naver.com, Kim, Kyungmin2 (AUTHOR) kyungminkim0829@gmail.com, Yoon, Kwangbae3 (AUTHOR) rhkdqoek@nie.re.kr, Park, Yungchul4 (AUTHOR) parky@kangwon.ac.kr
Publikováno v:
Animals (2076-2615). Apr2024, Vol. 14 Issue 8, p1153. 17p.
Zero-shot action recognition is the task of classifying action categories that are not available in the training set. In this setting, the standard evaluation protocol is to use existing action recognition datasets(e.g. UCF101) and randomly split the
Externí odkaz:
http://arxiv.org/abs/2107.13029
Akademický článek
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This paper presents an approach for recognizing human activities from extreme low resolution (e.g., 16x12) videos. Extreme low resolution recognition is not only necessary for analyzing actions at a distance but also is crucial for enabling privacy-p
Externí odkaz:
http://arxiv.org/abs/1708.00999
Autor:
Yun, Yeong-Bae1 (AUTHOR) yybangel@korea.kr, Kim, Kiyoon2 (AUTHOR) kky0607@korea.kr, Huh, Jeong-Hoon1 (AUTHOR) mdgs3275@korea.kr, Um, Yurry1 (AUTHOR) urspower@korea.kr
Publikováno v:
Agronomy. May2023, Vol. 13 Issue 5, p1313. 13p.
Publikováno v:
In Journal of Ethnopharmacology 5 December 2020 263
Akademický článek
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