Published on 18 June 2022 |
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
View DatasetRishubh Singh;Pranav Gupta;Shenoy, Pradeep;Ravikiran Sarvadevabhatla
Description
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.
Citations (0)
No citations found
It looks like this dataset has no citations.
Mentions (0)
No mentions found
It looks like this dataset has not been mentioned in any sources.
Metrics Over Time
Publication Details
Subfield
Computer Vision and Pattern Recognition
Field
Computer Science
Domain
Physical Sciences
Confidence Score
98%
Source
Open Alex
Keywords
Part SegmentationMulti-object multi-part scene parsingPascal-PartFactorized LearningScene ParsingSemantic segmentationFactorization