March 6, 2024, 5:42 a.m. | Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Giuseppe Averta

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.03037v1 Announce Type: cross
Abstract: Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast what will follow in the near future, everything all at once. We believe that - to effectively transfer such an holistic perception to intelligent machines - an important role is played by learning to correlate concepts and to abstract knowledge coming from different tasks, to synergistically …

abstract arxiv cs.cv cs.lg diverse everything forecast future human near objects perspectives relationship skills type understanding video video understanding will

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