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pro vyhledávání: '"Kim, Jihyeon"'
This paper introduces the first text-guided work for generating the sequence of hand-object interaction in 3D. The main challenge arises from the lack of labeled data where existing ground-truth datasets are nowhere near generalizable in interaction
Externí odkaz:
http://arxiv.org/abs/2404.00562
In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although initially powerful, struggle with multi-scenario incremental learning due to th
Externí odkaz:
http://arxiv.org/abs/2403.05346
In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous improvements in generative models. However, its application in class i
Externí odkaz:
http://arxiv.org/abs/2402.17323
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
Autor:
Kim, Junsu, Hong, Sumin, Kim, Chanwoo, Kim, Jihyeon, Tiruneh, Yihalem Yimolal, On, Jeongwan, Song, Jihyun, Choi, Sunhwa, Baek, Seungryul
Class incremental learning aims to solve a problem that arises when continuously adding unseen class instances to an existing model This approach has been extensively studied in the context of image classification; however its applicability to object
Externí odkaz:
http://arxiv.org/abs/2312.09139
Autor:
Lee, Seongyeong, Park, Hansoo, Kim, Dong Uk, Kim, Jihyeon, Boboev, Muhammadjon, Baek, Seungryul
RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale databases and deep learning. However, the hand pose estimation network does not operate well for hand pose images whose characteristics are far different from the
Externí odkaz:
http://arxiv.org/abs/2210.16788
Publikováno v:
Applied Sciences, 2021.12
In recent movie recommendations, predicting the user's sequential behavior and suggesting the next movie to watch is one of the most important issues. However, capturing such sequential behavior is not easy because each user's short-term or long-term
Externí odkaz:
http://arxiv.org/abs/2111.02740
Autor:
Pickens, Charles L., Hougham, Alyssa, Kim, Jihyeon, Wang, Chuhan, Leder, Jendaya, Line, Chelsea, McDaniel, Kathleen, Micek, Lydia, Miller, Jadyn, Powell, Kendall, Waren, Olivia, Brenneman, Ellie, Erdley, Brooke
Publikováno v:
In Behavioural Brain Research 26 February 2024 458
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Akademický článek
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Publikováno v:
In Talanta 1 February 2023 253