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What is DBONet for Few-Shot Learning about?

The paper presents a novel approach called Decision Boundary Optimization Network (DBONet) for Few-shot Class-Incremental Learning (FSCIL), addressing challenges related to information loss and confusion in decision boundaries. DBONet incorporates an augmentation feature extractor and a Prototype Generation Module (PGM) to enhance feature representation and prototype generation, leading to improved classification accuracy. Extensive experiments demonstrate that DBONet achieves state-of-the-art performance o

Author

tasks888999

Language

EN