arXiv:2206.10861
UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022
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
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
LASER: Lip Landmark Assisted Speaker Detection for Robustness
A Light Weight Model for Active Speaker Detection
LoCoNet: Long-Short Context Network for Active Speaker Detection
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
End-to-End Active Speaker Detection
토론
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