Region-adaptive concept aggregation for few-shot visual recognition

Region-adaptive concept aggregation for few-shot visual recognition

Few-shot learning (FSL) aims to learn novel concepts from very limited examples. However, most FSL methods suffer from the issue of lacking robustness in concept learning. Specifically, existing FSL methods usually ignore the diversity of region contents that may contain concept-irrelevant informati...

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Bibliographic Details
Main Authors: Han, Mengya, Zhan, Yibing, Yu, Baosheng, Luo, Yong, Hu, Han, Du, Bo, Wen, Yonggang, Tao, Dacheng
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Concept-Aggregation
Concept Learning
Online Access:https://hdl.handle.net/10356/169205

Internet

https://hdl.handle.net/10356/169205

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