Supplementary Material: Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Tti Chicago, Devi Parikh · 2013
[1] C. K. Chow and C. N. Liu. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14(3):462467, 1968. 2 [2] R. Mottaghi, S. Fidler, J. Yao, R. Urtasun, and D. Parikh. Analyzing semantic segmentation using human-machine hybrid crfs. In CVPR, 2013. 1 [3] J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost for image understanding: Multiclass object recognition and segmentation by jointly modeling appearance, shape and context. IJCV, 81(1), 2007. 1 [4] J. Yao, S. Fidler, and R. Urtasun. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. In CVPR, 2012. 1