Image saliency: From intrinsic to extrinsic context

An implementation of “Wang M, Konrad J, Ishwar P, Jing K, Rowley H (2011) Image saliency: From intrinsic to extrinsic context. CVPR, 2011.”

Re-implemented by Jia Li ( and Shu Fang (

Code folder: contains our implementation of (Wang et al. 2011) and the metrics for computing AUC, EOF and FS. More details can be found in our paper submitted to IJCV (J. Li et al. Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation)

MIT1003 folder: the data used for testing (Wang et al. 2011). Subfolder “image” contains all the images from the dataset MIT1003, and subfolder “refImages” contains all the 20 most similar images retrieved from a large database with 31.2 million images.

Result folder: three subfolders, IES_intSal, IES_extSal and IES, contain the saliency maps from intrinsic context, extrinsic context and both contexts, respectively.