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HiP: Hierarchical Perceiver. (arXiv:2202.10890v2 [cs.CV] UPDATED)
Nov. 7, 2022, 2:14 a.m. | Joao Carreira, Skanda Koppula, Daniel Zoran, Adria Recasens, Catalin Ionescu, Olivier Henaff, Evan Shelhamer, Relja Arandjelovic, Matt Botvinick, Orio
cs.CV updates on arXiv.org arxiv.org
General perception systems such as Perceivers can process arbitrary
modalities in any combination and are able to handle up to a few hundred
thousand inputs. They achieve this generality by using exclusively global
attention operations. This however hinders them from scaling up to the inputs
sizes required to process raw high-resolution images or video. In this paper,
we show that some degree of locality can be introduced back into these models,
greatly improving their efficiency while preserving their generality. To …
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