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PASCAL VOC 2012

Semantic segmentation with the goal to assign semantic labels to every pixel in an image is one of the fundamental topics in computer vision. Deep convolutional neural networks based on the Fully Convolutional Neural Network show striking improvement over systems relying on hand-crafted features on benchmark tasks.

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Cite this as

Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, Andrew Zisserman (2024). Dataset: PASCAL VOC 2012. https://doi.org/10.57702/sflv7lsw

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2403.01818
Citation
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Author Mark Everingham
More Authors
Luc Van Gool
Christopher KI Williams
John Winn
Andrew Zisserman
Homepage https://www.pascal-voc.org/