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Csurka et al., 2011 - Google Patents

An efficient approach to semantic segmentation

Csurka et al., 2011

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Document ID
8828491920810210014
Author
Csurka G
Perronnin F
Publication year
Publication venue
International Journal of Computer Vision

External Links

Snippet

We consider the problem of semantic segmentation, ie assigning each pixel in an image to a set of pre-defined semantic object categories. State-of-the-art semantic segmentation algorithms typically consist of three components: a local appearance model, a local …
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Classifications

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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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