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Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos
[article]
2020
arXiv
pre-print
Robust face clustering is a key step towards computational understanding of visual character portrayals in media. Face clustering for long-form content such as movies is challenging because of variations in appearance and lack of large-scale labeled video resources. However, local face tracking in videos can be used to mine samples belonging to same/different persons by examining the faces co-occurring in a video frame. In this work, we use this idea of self-supervision to harvest large amounts
arXiv:2008.11289v1
fatcat:mjmo66psm5ggxbebaacx4f525y