Region-adaptive concept aggregation for few-shot visual recognition

• 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: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Concept-Aggregation; Concept Learning
• Online Access: https://hdl.handle.net/10356/169205
• Institution: Nanyang Technological University

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...