Pairwise confusion for fine-grained visual classification

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...

Full description

Bibliographic Details
Main Authors: Dubey, Abhimanyu, Gupta, Otkrist, Guo, Pei, Raskar, Ramesh, Farrell, Ryan
Other Authors: Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Format: Article
Language:English
Published: Springer International Publishing 2021
Online Access:https://hdl.handle.net/1721.1/138096.2

Internet

https://hdl.handle.net/1721.1/138096.2

Similar Items