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UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes. (arXiv:2205.10337v1 [cs.CV])
May 23, 2022, 1:12 a.m. | Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby
cs.CV updates on arXiv.org arxiv.org
We introduce UViM, a unified approach capable of modeling a wide range of
computer vision tasks. In contrast to previous models, UViM has the same
functional form for all tasks; it requires no task-specific modifications which
require extensive human expertise. The approach involves two components: (I) a
base model (feed-forward) which is trained to directly predict raw vision
outputs, guided by a learned discrete code and (II) a language model
(autoregressive) that is trained to generate the guiding code. These …
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