Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning
Xinyi Chang,
Chunyu Du,
Xinjing Song
et al.
Abstract:Few-shot learning has achieved satisfactory progress over the years, but these methods implicitly hypothesize that the data in the base (source) classes and novel (target) classes are sampled from the same data distribution (domain), which is often invalid in reality. The purpose of cross-domain few-shot learning (CD-FSL) is to successfully identify novel target classes with a small quantity of labeled instances on the target domain under the circumstance of domain shift between the source domain and the targe… Show more
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