Disrupting the spatial continuity of image tokens hurts source-domain accuracy far more than target-domain accuracy, and using such disruption during source training improves cross-domain few-shot classification.
Accumulated trivial attention matters in vision transformers on small datasets
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Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Disrupting the spatial continuity of image tokens hurts source-domain accuracy far more than target-domain accuracy, and using such disruption during source training improves cross-domain few-shot classification.