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arXiv · 2411.05603

Efficient Audio-Visual Fusion for Video Classification

Mahrukh Awan·Asmar Nadeem·Armin Mustafa
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Abstract

We present Attend-Fusion, a novel and efficient approach for audio-visual fusion in video classification tasks. Our method addresses the challenge of exploiting both audio and visual modalities while maintaining a compact model architecture. Through extensive experiments on the YouTube-8M dataset, we demonstrate that our Attend-Fusion achieves competitive performance with significantly reduced model complexity compared to larger baseline models.

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Mahrukh Awan, Asmar Nadeem, Armin Mustafa. 2024-11-08. Efficient Audio-Visual Fusion for Video Classification. https://arxiv.org/abs/2411.05603

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