A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
Abstract
This paper aims to highlight vision related tasks centered around "car", which has been largely neglected by vision community in comparison to other objects. We show that there are still many interesting car-related problems and applications, which are not yet well explored and researched. To facilitate future car-related research, in this paper we present our on-going effort in collecting a large-scale dataset, "CompCars", that covers not only different car views, but also their different internal and external parts, and rich attributes. Importantly, the dataset is constructed with a cross-modality nature, containing a surveillancenature set and a web-nature set. We further demonstrate a few important applications exploiting the dataset, namely car model classification, car model verification, and attribute prediction. We also discuss specific challenges of the car-related problems and other potential applications that worth further investigations. The latest dataset can be downloaded at http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html
Cite
Text
Yang et al. "A Large-Scale Car Dataset for Fine-Grained Categorization and Verification." Conference on Computer Vision and Pattern Recognition, 2015. doi:10.1109/CVPR.2015.7299023Markdown
[Yang et al. "A Large-Scale Car Dataset for Fine-Grained Categorization and Verification." Conference on Computer Vision and Pattern Recognition, 2015.](https://mlanthology.org/cvpr/2015/yang2015cvpr-largescale/) doi:10.1109/CVPR.2015.7299023BibTeX
@inproceedings{yang2015cvpr-largescale,
title = {{A Large-Scale Car Dataset for Fine-Grained Categorization and Verification}},
author = {Yang, Linjie and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2015},
doi = {10.1109/CVPR.2015.7299023},
url = {https://mlanthology.org/cvpr/2015/yang2015cvpr-largescale/}
}