HELA-VFA: a hellinger distance-attention-based feature aggregation network for few-shot classification

• المؤلفون الرئيسيون: Lee, Gao Yu, Dam, Tanmoy, Poenar, Daniel Puiu, Duong, Vu N., Ferdaus, Md Meftahul
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Feature aggregation; Few-shot learning; Hellinger distance; Image classification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173508

Enabling effective learning using only a few presented examples is a crucial but difficult computer vision objective. Few-shot learning have been proposed to address the challenges, and more recently variational inference-based approaches are incorporated to enhance few-shot classification performa...