2015
Image Parsing With a Wide Range of Classes and Scene-Level Context
CVPR 2015poster
This paper presents a nonparametric scene parsing approach that improves the overall accuracy, as well as the coverage of foreground classes in scene images. We first improve the label likelihood estimates at superpixels by merging likelihood scores from different probabilistic classifiers. This boo…