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5 months ago
Naver at ActivityNet Challenge 2019 -- Task B Active Speaker Detection (AVA)
Chung Joon Son
Abstract
This report describes our submission to the ActivityNet Challenge at CVPR2019. We use a 3D convolutional neural network (CNN) based front-end and anensemble of temporal convolution and LSTM classifiers to predict whether avisible person is speaking or not. Our results show significant improvementsover the baseline on the AVA-ActiveSpeaker dataset.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| audio-visual-active-speaker-detection-on-ava | VGG-{LSTM+TCN} (ensemble) | validation mean average precision: 87.8% |
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