Meta-learning Fine-tuned Feature Extractor for Few-shot Image Classification: A Case Study on Fine-tuning CNN Backbone with Transformer for Few-shot Learning - researchr publication

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Yulin Shen, Xian Shuai. Meta-learning Fine-tuned Feature Extractor for Few-shot Image Classification: A Case Study on Fine-tuning CNN Backbone with Transformer for Few-shot Learning. In APIT 2022: 4th Asia Pacific Information Technology Conference, Virtual Event, Thailand, January 14 - 16, 2022. pages 9-14, ACM, 2022. [doi]

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