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ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling

Georgiou, Konstantinos et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitioni-2-10i-2-6
Multi-objective masked image modeling (MIM) combines complementary learning signals (token distillation, CLS alignment, and pixel reconstruction) but existing methods weight these objectives with global scalars, ignoring spatial heterogeneity across patches. We present ExPLoRe (Expert Patch-Level Lo
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