Maximum Entropy Fine-Grained Classification
© 2018 Curran Associates Inc..All rights reserved. Fine-Grained Visual Classification (FGVC) is an important computer vision problem that involves small diversity within the different classes, and often requires expert annotators to collect data. Utilizing this notion of small visual diversity, we r...
Main Authors: | Dubey, Abhimanyu, Gupta, Otkrist, Raskar, Ramesh, Naik, Nikhil |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | English |
Published: |
2021
|
Online Access: | https://hdl.handle.net/1721.1/138084 |
Similar Items
-
Pairwise confusion for fine-grained visual classification
by: Dubey, Abhimanyu, et al.
Published: (2021) -
Distributed learning of deep neural network over multiple agents
by: Gupta, Otkrist, et al.
Published: (2019) -
Machine learning approaches for large scale classification of produce
by: Gupta, Otkrist, et al.
Published: (2020) -
Deep Learning the City: Quantifying Urban Perception at a Global Scale
by: Dubey, Abhimanyu, et al.
Published: (2021) -
Object classification through scattering media with deep learning on time resolved measurement
by: Satat, Guy, et al.
Published: (2021)