Yanning Zhang

Meta-Exploiting Complementary Semantic Consistency for Cross-Domain Few-Shot Learning Promotion

Meta-learning has emerged as an effective solver for cross-domain few-shot learning (CD-FSL) tasks. Despite achieving obvious progress recently, the typical episodic learning paradigm often causes the feature embedding model collapsing into the simplicity bias pitfall, viz., the model tends to prioritize some shortcut...