arXiv:2206.10861

UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022

Yuanhang Zhang, Susan Liang, Shuang Yang, Shiguang Shan

제출 2022-06-22

원문 초록

This report presents a brief description of our winning solution to the AVA Active Speaker Detection (ASD) task at ActivityNet Challenge 2022. Our underlying model UniCon+ continues to build on our previous work, the Unified Context Network (UniCon) and Extended UniCon which are designed for robust scene-level ASD. We augment the architecture with a simple GRU-based module that allows information of recurring identities to flow across scenes through read and update operations. We report a best result of 94.47% mAP on the AVA-ActiveSpeaker test set, which continues to rank first on this year's challenge leaderboard and significantly pushes the state-of-the-art.

함께 살펴볼 논문

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arXiv:2203.14250공통 태그 Active Speaker Detection, Audio-Visual Active Speaker Detection공식 코드 · Papers with Code

End-to-End Active Speaker Detection

토론

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