Zobrazeno 1 - 10
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pro vyhledávání: '"action representations"'
Autor:
Li, Puhao, Liu, Tengyu, Li, Yuyang, Han, Muzhi, Geng, Haoran, Wang, Shu, Zhu, Yixin, Zhu, Song-Chun, Huang, Siyuan
Autonomous robotic systems capable of learning novel manipulation tasks are poised to transform industries from manufacturing to service automation. However, modern methods (e.g., VIP and R3M) still face significant hurdles, notably the domain gap am
Externí odkaz:
http://arxiv.org/abs/2404.17521
Akademický článek
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Reinforcement learning~(RL) is a versatile framework for learning to solve complex real-world tasks. However, influences on the learning performance of RL algorithms are often poorly understood in practice. We discuss different analysis techniques an
Externí odkaz:
http://arxiv.org/abs/2309.06921
Self-paced learning has been beneficial for tasks where some initial knowledge is available, such as weakly supervised learning and domain adaptation, to select and order the training sample sequence, from easy to complex. However its applicability r
Externí odkaz:
http://arxiv.org/abs/2303.06242
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
In video action recognition, shortcut static features can interfere with the learning of motion features, resulting in poor out-of-distribution (OOD) generalization. The video background is clearly a source of static bias, but the video foreground, s
Externí odkaz:
http://arxiv.org/abs/2211.12883
The low-level sensory and motor signals in deep reinforcement learning, which exist in high-dimensional spaces such as image observations or motor torques, are inherently challenging to understand or utilize directly for downstream tasks. While senso
Externí odkaz:
http://arxiv.org/abs/2210.09566
Previous work on action representation learning focused on global representations for short video clips. In contrast, many practical applications, such as video alignment, strongly demand learning the intensive representation of long videos. In this
Externí odkaz:
http://arxiv.org/abs/2212.03125
Publikováno v:
IMA Journal of Management Mathematics. Jan2025, Vol. 36 Issue 1, p51-66. 16p.
Prior works on action representation learning mainly focus on designing various architectures to extract the global representations for short video clips. In contrast, many practical applications such as video alignment have strong demand for learnin
Externí odkaz:
http://arxiv.org/abs/2203.14957
Akademický článek
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