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Conference Paper: A large-scale car dataset for fine-grained categorization and verification

TitleA large-scale car dataset for fine-grained categorization and verification
Authors
Issue Date2015
Citation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2015, v. 07-12-June-2015, p. 3973-3981 How to Cite?
Abstract© 2015 IEEE. 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.
Persistent Identifierhttp://hdl.handle.net/10722/273551
ISSN
2023 SCImago Journal Rankings: 10.331

 

DC FieldValueLanguage
dc.contributor.authorYang, Linjie-
dc.contributor.authorLuo, Ping-
dc.contributor.authorLoy, Chen Change-
dc.contributor.authorTang, Xiaoou-
dc.date.accessioned2019-08-12T09:55:54Z-
dc.date.available2019-08-12T09:55:54Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2015, v. 07-12-June-2015, p. 3973-3981-
dc.identifier.issn1063-6919-
dc.identifier.urihttp://hdl.handle.net/10722/273551-
dc.description.abstract© 2015 IEEE. 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.-
dc.languageeng-
dc.relation.ispartofProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition-
dc.titleA large-scale car dataset for fine-grained categorization and verification-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CVPR.2015.7299023-
dc.identifier.scopuseid_2-s2.0-84959184327-
dc.identifier.volume07-12-June-2015-
dc.identifier.spage3973-
dc.identifier.epage3981-
dc.identifier.issnl1063-6919-

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