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

Pascal-Part-201 is the most comprehensive and challenging version of the Pascal-Part dataset for Multi-object multi-part scene parsing. The dataset is the part of the publication "FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing" published in CVPR 2022.

Related Organizations

Google (United States)
United States

Keywords

Part Segmentation, Scene Parsing, Pascal-Part, Multi-object multi-part scene parsing, Factorization, Factorized Learning, Semantic segmentation

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