A unified convolutional neural network integrated with conditional random field for pipe defect segmentation - researchr publication related

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Mingzhu Wang, Jack C. P. Cheng. A unified convolutional neural network integrated with conditional random field for pipe defect segmentation. Comp.-Aided Civil and Infrastruct. Engineering, 35(2):162-177, 2020. [doi]

The following publications are possibly variants of this publication:

Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random FieldsCheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou 0001. titb, 22(6):1906-1916, 2018. [doi]

Convolutional neural network based deep conditional random fields for stereo matchingZhi Wang, Shiqiang Zhu, Yuehua Li, Zhengzhe Cui. jvcir, 40:739-750, 2016. [doi]

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