A knowledge transfer framework that aggregates features and logits from over 100 heterogeneous pre-trained teacher models via sign voting and pseudo-class voting, improving unsupervised object recognition accuracy.
Evolutionary Optimization of Model Merging Recipes,
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UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
A knowledge transfer framework that aggregates features and logits from over 100 heterogeneous pre-trained teacher models via sign voting and pseudo-class voting, improving unsupervised object recognition accuracy.