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Pascal Context

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique category label.

Data and Resources

Cite this as

R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fidler, R. Urtasun, A. Yuille (2024). Dataset: Pascal Context. https://doi.org/10.57702/i5758bop

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2406.09936
Citation
  • https://doi.org/10.48550/arXiv.1903.04688
  • https://doi.org/10.48550/arXiv.1903.05434
  • https://doi.org/10.48550/arXiv.1611.08986
  • https://doi.org/10.48550/arXiv.2312.11872
Author R. Mottaghi
More Authors
X. Chen
X. Liu
N.-G. Cho
S.-W. Lee
S. Fidler
R. Urtasun
A. Yuille
Homepage https://www.pascal-voc.org/