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

• Main Authors: Lee, Gao Yu, Dam, Tanmoy, Poenar, Daniel Puiu, Duong, Vu N., Ferdaus, Md Meftahul
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Feature aggregation; Few-shot learning; Hellinger distance; Image classification
• Online Access: https://hdl.handle.net/10356/173508
• Institution: Nanyang Technological University

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...