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12 new papers today
YL
Yann LeCun
NYU / Meta AI
New
Self-Supervised Learning for Vision Transformers with Masked Prediction
AI Summary
Proposes a new self-supervised objective for ViTs that outperforms contrastive methods on ImageNet by 3.2%. Uses joint-embedding architecture with masked patches as prediction targets.
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