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YouTube Co-localization Dataset (ECCV + IEEE Trans. CSVT papers) [GEU and NTU]
Autonomous Driving
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许可协议: Unknown

Overview

The dataset consists of bounding box annotations for 15k frames of videos collected from YouTube Objects Dataset.If you find this dataset useful, kindly cite the following papers:[1] Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Efficient Video Object Co-localization with Co-saliency Activated Tracklets” in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.[2] Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “CATS: Co-saliency Activated Tracklet Selection for Video Co-localization” in European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016.

数据概要
数据格式
video, image,
数据量
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文件大小
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| 数据量 -- | 大小 --
YouTube Co-localization Dataset (ECCV + IEEE Trans. CSVT papers) [GEU and NTU]
Autonomous Driving
许可协议: Unknown

Overview

The dataset consists of bounding box annotations for 15k frames of videos collected from YouTube Objects Dataset.If you find this dataset useful, kindly cite the following papers:[1] Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “Efficient Video Object Co-localization with Co-saliency Activated Tracklets” in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.[2] Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan, “CATS: Co-saliency Activated Tracklet Selection for Video Co-localization” in European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, 2016.

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