Context-based conditional random fields as recurrent neural networks for image labeling

Kun Hu; Shuyou Zhang; Xinyue Zhao

doi:10.1007/s11042-019-7564-x

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Context-based conditional random fields as recurrent neural networks for image labeling

Kun Hu Shuyou Zhang Xinyue Zhao

Year: 2019 Journal: Multimedia Tools and Applications Vol: 79 (23-24)Pages: 17135-17145 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-019-7564-x

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Keywords:

Computer science Conditional random field Context (archaeology) Artificial intelligence Image (mathematics) Artificial neural network Machine learning Pattern recognition (psychology)

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Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Context-based conditional random fields as recurrent neural networks for image labeling

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