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

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

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...

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Bibliographic Details
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 Paper
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

Internet

https://hdl.handle.net/10356/173508

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