Dense Semantic Correspondence

方法名称	度量相似性的方法	相似性的层面	针对问题
Canonical correspondence	(dis-)similarity metrics	raw pixel intensities	the same underlying scene,brightness   constancy assumption
Improved canonical correspondence	Robust (dis-)similarity metrics	raw pixel intensities	the same underlying scene,non-rigid   deformations、occlu- sions、non-global intensity、constrast and colorimet- ric changes
semantic correspondence (SIFT Flow)	L1 metric	sparse keypoint matching,dense SIFT space(sacri   ces some localization accuracy)	across scenes
Ours	Per pixel classifiers	raw pixel intensities(Dense)	across scenes

转载于:https://www.cnblogs.com/vd01/p/4842382.html