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TransMODAL: A Dual-Stream Transformer with Adaptive Co-Attention for Efficient Human Action Recognition

2025-07-29

Abstract excerpt

Human Action Recognition has seen significant advances through Transformer-based architectures, yet achieving nuanced understanding often requires fusing multiple data modalities. Standard models relying solely on RGB video can struggle with actions defined by subtle motion cues rather than appearance. This paper introduces TransMODAL, a novel dual-stream Transformer that synergistically fuses spatiotemporal appea...

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Literature Corpus work
9084ab35-6f62-50b9-983d-0ee4cb87f1f2
DOI
10.20944/preprints202507.2386.v1
Open publication

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TransMODAL: A Dual-Stream Transformer with Adaptive Co-Attention for Efficient Human Action RecognitionDOI 10.20944/preprints202507.2386.v1
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