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Convolutional CRFs for Semantic Segmentation.

BMVC, pp.142, (2019)

Cited by: 52|Views134
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Abstract

For the challenging semantic image segmentation task the most efficient models have traditionally combined the structured modelling capabilities of Conditional Random Fields (CRFs) with the feature extraction power of CNNs. In more recent works however, CRF post-processing has fallen out of favour. We argue that this is mainly due to th...More

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Marvin Teichmann
Marvin Teichmann
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