Pairwise confusion for fine-grained visual classification
© Springer Nature Switzerland AG 2018. Fine-Grained Visual Classification (FGVC) datasets contain small sample sizes, along with significant intra-class variation and inter-class similarity. While prior work has addressed intra-class variation using localization and segmentation techniques, inter-cl...
Main Authors: | , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer International Publishing
2021
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Online Access: | https://hdl.handle.net/1721.1/138096.2 |