Self-supervised learning

MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
We propose a novel self-supervised pre-training technique for Vision Transformer called MaPeT and a novel image tokenizer called k-CLIP which directly employs discretized CLIP features.
Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo_Baraldi, Andrea Pilzer, Rita Cucchiara
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MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training