# Efficient Audio-Visual Fusion for Video Classification

arXiv: https://arxiv.org/abs/2411.05603 · HTML: https://mlsanity.com/paper/2411.05603/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2024.

## Abstract (arXiv)

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.