arXiv:1906.10555
Naver at ActivityNet Challenge 2019 -- Task B Active Speaker Detection (AVA)
원문 초록
This report describes our submission to the ActivityNet Challenge at CVPR 2019. We use a 3D convolutional neural network (CNN) based front-end and an ensemble of temporal convolution and LSTM classifiers to predict whether a visible person is speaking or not. Our results show significant improvements over the baseline on the AVA-ActiveSpeaker dataset.
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
이 논문과 연결된 포럼 글이 아직 없습니다.