March 29, 2024, 4:45 a.m. | R. Gnana Praveen, Jahangir Alam

cs.CV updates on

arXiv:2403.19554v1 Announce Type: new
Abstract: In video-based emotion recognition, audio and visual modalities are often expected to have a complementary relationship, which is widely explored using cross-attention. However, they may also exhibit weak complementary relationships, resulting in poor representations of audio-visual features, thus degrading the performance of the system. To address this issue, we propose Dynamic Cross-Attention (DCA) that can dynamically select cross-attended or unattended features on the fly based on their strong or weak complementary relationship with each other, …

abstract arxiv attention audio dynamic emotion features however performance recognition relationship relationships type video visual

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