Highlights · Propose a Cascade multi-head attention Network to construct video representations. · Provide visual analysis for multi-head attention weights.
Experimental results show that the MAT-EffNet outperforms other state-of-the-art approaches for action recognition, which can focus on the key action ...
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Jun 24, 2022 · Wang et al. [34] proposed a Cascade multi-head Attention Network (CATNet) for action recognition, which constructed the process of CNN feature ...
摘要. Long-term temporal information yields crucial cues for video action understanding. Previous researches always rely on sequential models such as ...
Oct 22, 2024 · To solve this problem, we propose a Multi-head Attention-based Two-stream EfficientNet (MAT-EffNet) for action recognition, which can take ...
To solve this problem, we propose a Multi-head Attention-based Two-stream EfficientNet (MAT-EffNet) for action recognition, which can take advantage of the ...
This paper proposes a cascade attention-based facial expression recognition network on the basis of a combination of (i) local spatial feature, (ii) multi- ...
By employing a multi-head self-attention layer, the Transformer model computes sequence representations by effectively aligning words within the sequence with ...
This paper presents a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations ...
Multi-head attention fusion networks for multi-modal speech emotion recognition. Highlights. Multimodal categories enriched by the inclusion of action data.