Construct · 1 fields · 1 citations

fully convolutional network: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
fully convolutionalnetwork1 CONSTRUCTFully convolutionalLONG · MACHINE LEARNING

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Machine learning

a network with only convolutional layers that takes an image of any size and outputs a same-size pixel-wise prediction map, used for semantic segmentation.

In machine learning, fully convolutional network refers to a network with only convolutional layers that takes an image of any size and outputs a same-size pixel-wise prediction map, used for semantic segmentation. This meaning comes from Long (2015) in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[1]

Unit
Recovery means
Measured by

Next

Run it through the Collider, or take the citations with you.

See how fully convolutional network sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in ColliderExport BibTeXReport this entry

Nearby constructs

image4 fields · 5 citationsjingle · one word, four constructslearning6 fields · 14 citationsjingle · one name, six constructsnetwork4 fields · 6 citationsjingle · one word, four constructs

References

  1. Long, J., Shelhamer, E., & Darrell, T. (2015). Fully convolutional networks for semantic segmentation. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr.2015.7298965

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct