To model the text modality uncertainty, we employ a distributional embedding for the text feature and predict the mean and variance vectors for each input text.
Nov 21, 2024 · To tackle this challenge, this paper proposes a new Uncertain Skeleton-Language Learning Framework (USLLF) to capture the semantic ambiguity ...
Aug 20, 2024 · Specifically, first, we integrate the language (text) generated by ChatGPT with the generic skeleton-based network and develop a deterministic ...
Dec 1, 2024 · Modeling the skeleton-language uncertainty for 3D action recognition. Mingdao Wang. ,. Xianlin Zhang. ,. Xian-Lin Zhang. ,. Siqi Chen. ,.
Oct 17, 2021 · In this paper, we consider that a good representation learning encoder can distinguish the underlying features of different actions.
Applying Gaussian distribution is one of the prominent approaches used for modeling uncertainty in the representation space [40, 45,51,54].
Modeling the skeleton-language uncertainty for 3D action recognition ... modeling with window and cross-window mechanism for skeleton-based action recognition ...
We collect existing papers on skeleton-based action recognition published in prominent conferences and journals. This paper list will be continuously updated.
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Modeling the skeleton-language uncertainty for 3D action recognition. Human 3D skeleton-based action recognition has received increasing interest in recent ...
We are the first to consider text descriptions from large language models to facilitate one-shot skeleton-based 3D human action recognition. Page 4. 4. T. Yan ...