Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-11-21 000000m 13:08:37 - Overview

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Name (Institute + Shorttitle)CO-SKEL dataset (CVPR 17) [Graphic Era University and Nanyang Technological University] 
Description (include details on usage, files and paper references)This dataset has been developed to facilitate evaluation of Object Co-skeletonization problem introduced by the following paper:

Object Co-skeletonization with Co-segmentation, CVPR 17.

It consists of total 26 categories involving different animals, birds and flowers, etc. Both segmentation and skeleton masks have been provided. If you find the dataset useful,


Pls cite the following:

Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu and Junsong Yuan, Object Co-skeletonization with Co-segmentation in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, USA, 2017.

Koteswar Rao Jerripothula, Jianfei Cai, Fanman Meng, and Junsong Yuan, Automatic image Co-Segmentation using geometric mean saliency, in 2014 IEEE International Conference on Image Processing (ICIP), Paris, France, 2014. 
URL Linkhttps://github.com/jkoteswarrao/Object-Co-skeletonization-with-Co-segmentation 
Files (#)
References (SKIPPED)
Category (SKIPPED)skelton, co-segmentation, segmentation 
Tags (single words, spaced)skeleton, skeletonization, segmentation, co-segmentation, co-skeletonization 
Last Changed2017-11-21 
Turing (2.12+3.25=?) :-)