Published on 18 June 2022 |

Version V1.0

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

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Rishubh 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)

Mentions (0)

Metrics

Dataset Index

1.9

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

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

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00