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What to Hide from Your Students: Attention-Guided Masked Image Modeling. (arXiv:2203.12719v2 [cs.CV] UPDATED)
July 25, 2022, 1:13 a.m. | Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
cs.CV updates on arXiv.org arxiv.org
Transformers and masked language modeling are quickly being adopted and
explored in computer vision as vision transformers and masked image modeling
(MIM). In this work, we argue that image token masking differs from token
masking in text, due to the amount and correlation of tokens in an image. In
particular, to generate a challenging pretext task for MIM, we advocate a shift
from random masking to informed masking. We develop and exhibit this idea in
the context of distillation-based MIM, …
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