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20232026
most citedMultiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis

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cs.CV2026

Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning

Shengqin Jiang, Xiaoran Feng, Yuankai Qi +6

Few-shot class-incremental learning (FSCIL) seeks to continuously learn new classes from very limited samples while preserving previously acquired knowledge. Traditional methods of…