Fine-Grained Vehicle Classification
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Fine-Grained Vehicle Classification
Vehicle-Rear
Most implemented papers
Proxy Anchor Loss for Deep Metric Learning
tjddus9597/Proxy-Anchor-CVPR2020
•
•
CVPR 2020
The former class can leverage fine-grained semantic relations between data points, but slows convergence in general due to its high training complexity.
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
OrkhanHI/Grab-AI-Computer-Vision-Challenge
•
•
Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle.
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
To explore our dataset we design a two-stream CNN that simultaneously uses two of the most distinctive and persistent features available: the vehicle's appearance and its license plate.
