Training a vision transformer with multiple auxiliary tokens and distilling them into a single global token improves self-supervised representation quality with no additional inference cost.
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Multi-Token Enhancing for Vision Representation Learning
Training a vision transformer with multiple auxiliary tokens and distilling them into a single global token improves self-supervised representation quality with no additional inference cost.