Feature Mixture on Pre-Trained Model for Few-Shot Learning
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Few-shot learning (FSL) aims at recognizing a novel object under limited training samples. A robust feature extractor (backbone) can significantly improve the recognition performance of the FSL model. However, training an effective backbone is a challenging is... ...
