Dec 21, 2023 · To empower the model as a teacher, we propose Hard Patches Mining (HPM), predicting patch-wise losses and subsequently determining where to mask ...
Dec 21, 2023 · Abstract—Masked visual modeling has attracted much attention due to its promising potential in learning generalizable representations.
Masked image modeling (MIM) has attracted much research attention due to its promising potential for learning scalable visual representations.
Understanding masked image modeling via learning occlusion invariant feature. ... Learning transferable visual models from natural language supervision. In ...
To achieve this goal, researchers carefully design visual pretext tasks to produce appropriate supervision using only images [3,18,46,51,62,69,70].
To empower the model as a teacher, we propose Hard Patches Mining (HPM), predicting patch-wise losses and subsequently determining where to mask. Technically, ...
Dec 22, 2023 · [2312.13714] Bootstrap Masked Visual Modeling via Hard Patches Mining ... Nobody's responded to this post yet. Add your thoughts and get the ...
Abstract. Masked image modeling (MIM) has attracted much research attention due to its promising potential for learning scalable visual representations. In ...
Missing: Bootstrap via
Masked image modeling (MIM) has attracted much research attention due to its promising potential for learning scalable visual representations.
We summarize awesome Masked Image Modeling (MIM) and relevent Masked Modeling methods proposed for self-supervised representation learning.