DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher
DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher | AI Trend Blend Researchers at Nanjing Normal University placed a trainable 10-million-parameter intermediary between a frozen 1.2-billion-parameter vision-language model and a tiny student classifier — solving the architectural…
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