A Large-Scale Car Dataset for Fine-Grained Categorization and Verification | |
Linjie Yang; Ping Luo; Chen Change Loy; Xiaoou Tang | |
2015 | |
会议名称 | IEEE Conference on Computer Vision and Pattern Recognition |
会议地点 | 美国波士顿 |
英文摘要 | 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 |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6698] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2015 |
推荐引用方式 GB/T 7714 | Linjie Yang,Ping Luo,Chen Change Loy,et al. A Large-Scale Car Dataset for Fine-Grained Categorization and Verification[C]. 见:IEEE Conference on Computer Vision and Pattern Recognition. 美国波士顿. |
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