Disentangled feature representation for few-shot image classification

Learning the generalizable feature representation is critical to few-shot image classification. While recent works exploited task-specific feature embedding using meta-tasks for few-shot learning, they are limited in many challenging tasks as being distracted by the excursive features such as the ba...

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Bibliographic Details
Main Authors: Cheng, Hao, Wang, Yufei, Li, Haoliang, Kot, Alex Chichung, Wen, Bihan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170577
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Institution: Nanyang Technological University
Language: English
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