Overview

Although images from MSRA-1000 have a large variety in their content, background structures are primarily simple and smooth. To represent the situations that natural images generally fall into, we extend our Complex Scene Saliency Dataset (CSSD) in a larger dataset (ECSSD) with 1000 images, which includes many semantically meaningful but structurally complex images for evaluation. The images are acquired from the internet and 5 helpers were asked to produce the ground truth masks. Several examples with their corresponding masks are shown above.

Citation

@article{shi2015hierarchical,
  title={Hierarchical image saliency detection on extended CSSD},
  author={Shi, Jianping and Yan, Qiong and Xu, Li and Jia, Jiaya},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={38},
  number={4},
  pages={717--729},
  year={2015},
  publisher={IEEE}
}