Ravikiran Sarvadevabhatla

FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing

Multi-object multi-part scene parsing is a challenging task which requires detecting multiple object classes in a scene and segmenting the semantic parts within each object. In this paper, we propose FLOAT, a factorized label space framework for scalable multi-object multi-part parsing. Our framewor…