A large-scale car dataset for fine-grained categorization and verification
Refereed conference paper presented and published in conference proceedings

替代計量分析
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其它資訊
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 surveillance-nature 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.
著者Yang L., Luo P., Loy C.C., Tang X.
會議名稱IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
會議開始日07.06.2015
會議完結日12.06.2015
會議地點Boston
會議國家/地區美國
詳細描述organized by IEEE Computer Society,
出版年份2015
月份10
日期14
卷號07-12-June-2015
頁次3973 - 3981
國際標準書號9781467369640
國際標準期刊號1063-6919
語言英式英語

上次更新時間 2020-09-08 於 04:18