Study Diagnoses Prototype Estimation Errors in Few-Shot Class-Incremental Learning
A new arXiv paper examines why prototype heads with frozen visual encoders still fall short in few-shot class-incremental learning, proposing training-free geometry selection and unlabeled-query prototype rectification.
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