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Microsoft COCO: Common Objects in Context

This paper proposes a framework to address the issue of requiring precise masks for existing FSS tasks, which address weakly-supervised few-shot segmentation tasks with only category information.

Data and Resources

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Cite this as

Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C Lawrence Zitnick (2024). Dataset: Microsoft COCO: Common Objects in Context. https://doi.org/10.57702/lydv1ylk

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Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2301.08898
Citation
  • https://doi.org/10.48550/arXiv.2206.04664
  • https://doi.org/10.48550/arXiv.2303.17908
  • https://doi.org/10.48550/arXiv.1708.04225
  • https://doi.org/10.48550/arXiv.2203.05294
  • https://doi.org/10.48550/arXiv.2206.06363
  • https://doi.org/10.48550/arXiv.2406.14924
  • https://doi.org/10.1016/j.knosys.2024.112004
  • https://doi.org/10.48550/arXiv.2305.16103
  • https://doi.org/10.48550/arXiv.2305.17718
  • https://doi.org/10.48550/arXiv.1604.00466
  • https://doi.org/10.48550/arXiv.1812.10889
  • https://doi.org/10.48550/arXiv.2212.00280
Author Tsung-Yi Lin
More Authors
Michael Maire
Serge Belongie
James Hays
Pietro Perona
Deva Ramanan
Piotr Dollár
C Lawrence Zitnick
Homepage https://cocodataset.org/