March 15, 2024, 4:46 a.m. | Camillo Quattrocchi, Antonino Furnari, Daniele Di Mauro, Mario Valerio Giuffrida, Giovanni Maria Farinella

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.02638v2 Announce Type: replace
Abstract: We consider the problem of transferring a temporal action segmentation system initially designed for exocentric (fixed) cameras to an egocentric scenario, where wearable cameras capture video data. The conventional supervised approach requires the collection and labeling of a new set of egocentric videos to adapt the model, which is costly and time-consuming. Instead, we propose a novel methodology which performs the adaptation leveraging existing labeled exocentric videos and a new set of unlabeled, synchronized exocentric-egocentric …

abstract arxiv cameras collection cs.cv data labeling segmentation synchronization temporal transfer type video video data wearable

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