Self-supervised Video-centralised Transformer for Video Face Clustering. (arXiv:2203.13166v2 [cs.CV] UPDATED)

This paper presents a novel method for face clustering in videos using a
video-centralised transformer. Previous works often employed contrastive
learning to learn frame-level representation and used average pooling to
aggregate the features along the temporal dimension. This approach may not
fully capture the complicated video dynamics. In addition, despite the recent
progress in video-based contrastive learning, few have attempted to learn a
self-supervised clustering-friendly face representation that benefits the video
face clustering task. To overcome these limitations, our method …

arxiv centralised clustering cv face transformer video