… More recently, [1, 16, 11] used audio-visual correspondence to separate sound sources. An…
Our contribution is to develop a model for audio-visual co-segmentation using videos. In the …

… upon recent works on self-supervised audio-visual localization. … facilitate a number of
audio-visual downstream tasks that … In each case, we significantly outperform other self-supervised …

… Inspired by recent work in selfsupervised learning, we seek to replace this source of ex…
clustering with audio-visual co-segmentation achieving combined audio-visual source separation. …

… Joint audio-visual training and independent image and audio inference. After our neural …
The learning method is selfsupervised because the neural networks do not require labelled …

… Look, listen, and attend: co-attention network for self-supervised audio-visual representation
learning. In: Proceedings of the 28th ACM International Conference on Multimedia (ACM), …

… video models from self-supervised audio-visual information. At … prediction an enriching
self-supervised task compared to … Self-supervised audio-visual co-segmentation. In ICASSP, …

… Audio-visual scene analysis with self-supervised multisensory features. In Proceedings of
the … Self-supervised audio-visual co-segmentation. In ICASSP 2019-2019 IEEE International …

… network for self-supervised audio-visual representation learning,… AA Efros, “Audio-visual
scene analysis with selfsupervised … Torralba, “Self-supervised audio-visual co-segmentation,” in …

… Self-supervised equivariant attention mechanism for weakly supervised semantic
segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …

… We propose an audio-visual co-segmentation, where the network learns both what … [5]
Andrew Owens and Alexei A Efros, “Audio-visual scene analysis with self-supervised multisensory …