Fine-Grained Vehicle Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Proxy Anchor Loss for Deep Metric Learning
  31 Mar 2020 3 repositories listed
  The former class can leverage fine-grained semantic relations between data points, but slows convergence in general due to its high training complexity.
• Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark
  21 Aug 2024 1 repository listed
  Vehicle information recognition is crucial in various practical domains, particularly in criminal investigations.
• Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
  13 Nov 2019 1 repository listed
  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.
• A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
  8 Jun 2018 1 repository listed
  Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle.