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UAVM: A Unified Model for Audio-Visual Learning. (arXiv:2208.00061v1 [cs.CV])
Aug. 2, 2022, 2:12 a.m. | Yuan Gong, Alexander H. Liu, Andrew Rouditchenko, James Glass
cs.CV updates on arXiv.org arxiv.org
Conventional audio-visual models have independent audio and video branches.
We design a unified model for audio and video processing called Unified
Audio-Visual Model (UAVM). In this paper, we describe UAVM, report its new
state-of-the-art audio-visual event classification accuracy of 65.8% on
VGGSound, and describe the intriguing properties of the model.
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