Semantic segmentation of mechanical assembly using selective kernel convolution UNet with fully connected conditional random field

Chengjun Chen; Chunlin Zhang; Jinlei Wang; Dongnian Li; Yang Li; Jun Hong

doi:10.1016/j.measurement.2023.112499

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JOURNAL ARTICLE

Semantic segmentation of mechanical assembly using selective kernel convolution UNet with fully connected conditional random field

Chengjun Chen Chunlin Zhang Jinlei Wang Dongnian Li Yang Li Jun Hong

Year: 2023 Journal: Measurement Vol: 209 Pages: 112499-112499 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2023.112499

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Keywords:

Segmentation Computer science Artificial intelligence Kernel (algebra) Conditional random field Pixel Pattern recognition (psychology) Computer vision Mathematics

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantic segmentation of mechanical assembly using selective kernel convolution UNet with fully connected conditional random field

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