Weakly Supervised Fine-Grained Image Classification via Salient Region Localization and Different Layer Feature Fusion

The fine-grained image classification task is about differentiating between different object classes. The difficulties of the task are large intra-class variance and small inter-class variance. For this reason, improving models’ accuracies on the task heavily relies on discriminative parts’ annotati...

詳細記述

書誌詳細

出版年:	Applied Sciences
主要な著者:	Fangxiong Chen, Guoheng Huang, Jiaying Lan, Yanhui Wu, Chi-Man Pun, Wing-Kuen Ling, Lianglun Cheng
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-07-01
主題:	fine-grained image classification different layer feature fusion attention model
オンライン･アクセス:	https://www.mdpi.com/2076-3417/10/13/4652