Are We Ready for Accurate and Unbiased Fine-Grained Vehicle Classification in Realistic Environments?

Are We Ready for Accurate and Unbiased Fine-Grained Vehicle Classification in Realistic Environments?

Fine-grained vehicle classification from images, also known as Vehicle Make and Model Recognition (VMMR), has become an important research topic in the last years, with a growing number of scientific contributions in multiple application areas, such as autonomous vehicles, surveillance systems, traf...

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Bibliographic Details
Main Authors: Hector Corrales Sanchez, Noelia Hernandez Parra, Ignacio Parra Alonso, Eduardo Nebot, David Fernandez-Llorca
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fine-grained classification
vehicle make and model
dataset bias
curriculum learning
weighted loss
cross-datasets
Online Access:https://ieeexplore.ieee.org/document/9512095/

Internet

https://ieeexplore.ieee.org/document/9512095/

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