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PASCAL-5i

Few-shot segmentation remains challenging due to the limitations of its labeling information for unseen classes. Most previous approaches rely on extracting high-level feature maps from the frozen visual encoder to compute the pixel-wise similarity as a key prior guidance for the decoder.

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Cite this as

Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy (2024). Dataset: PASCAL-5i. https://doi.org/10.57702/nt3ivyfn

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2004.02945
Citation
  • https://doi.org/10.48550/arXiv.2004.15014
  • https://doi.org/10.48550/arXiv.2306.15278
  • https://doi.org/10.48550/arXiv.2405.08458
  • https://doi.org/10.48550/arXiv.2009.06680
  • https://doi.org/10.1016/j.patcog.2022.109018
  • https://doi.org/10.48550/arXiv.2202.06498
Author Siddhartha Gairola
More Authors
Mayur Hemani
Ayush Chopra
Balaji Krishnamurthy
Homepage https://www.pascal-5i.org/