A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 3973-3981

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

Related Material


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[bibtex]
@InProceedings{Yang_2015_CVPR,
author = {Yang, Linjie and Luo, Ping and Change Loy, Chen and Tang, Xiaoou},
title = {A Large-Scale Car Dataset for Fine-Grained Categorization and Verification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}