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Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. (arXiv:2206.07689v1 [cs.CV])
June 16, 2022, 1:13 a.m. | Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
cs.CV updates on arXiv.org arxiv.org
This technical report describes the SViT approach for the Ego4D Point of No
Return (PNR) Temporal Localization Challenge. We propose a learning framework
StructureViT (SViT for short), which demonstrates how utilizing the structure
of a small number of images only available during training can improve a video
model. SViT relies on two key insights. First, as both images and videos
contain structured information, we enrich a transformer model with a set of
\emph{object tokens} that can be used across images …
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