Adopting attention and cross-layer features for fine-grained representation

Fine-grained visual classification (FGVC) is challenging task due to discriminative feature representations. The attention-based methods show great potential for FGVC, which neglect that the deeply digging inter-layer feature relations have an impact on refining feature learning. Similarly, the asso...

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Bibliographic Details

Main Authors:	Sun, Fayou, Ngo, Hea Choon, Sek, Yong Wee
Format:	Article
Language:	en
Published:	Institute Of Electrical And Electronics Engineers Inc. 2022
Online Access:	http://eprints.utem.edu.my/id/eprint/26209/2/ADOPTING_ATTENTION_AND_CROSS-LAYER_FEATURES_FOR_FINE-GRAINED_REPRESENTATION.PDF http://eprints.utem.edu.my/id/eprint/26209/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9847252
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