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SemGIF: A Semantics Guided Incremental Few-shot Learning Framework with Generative Replay
2021
British Machine Vision Conference
We address the problem of incremental few-shot learning (IFSL) by leveraging the notion of generative feature replay. Learning novel concepts while preserving old knowledge is a long-lasting challenge in machine learning. The main concern in IFSL is to combat the catastrophic forgetting of the base classes whose training data are not available during the incremental stage while ensuring good generalization for the few-shot classes. Existing techniques prefer to preserve some base class samples
dblp:conf/bmvc/BhatBC21
fatcat:fvh2rivqbrbcjjdiqkpbt5hdzu