Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields

董永峰 Yongfeng Dong; 杨雨訢 Yuxin Yang; 王利琴 Liqin Wang

doi:10.3788/lop56.131007

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Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields

董永峰 Yongfeng Dong 杨雨訢 Yuxin Yang 王利琴 Liqin Wang

Year: 2019 Journal: Laser & Optoelectronics Progress Vol: 56 (13)Pages: 131007-131007

DOI: 10.3788/lop56.131007

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Keywords:

Conditional random field Artificial intelligence Segmentation Computer science Pattern recognition (psychology) Scale (ratio) Image (mathematics) Feature (linguistics) Image segmentation Feature extraction Extraction (chemistry) Computer vision Geography Cartography Chemistry

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Semantic Segmentation Based on Multi-Scale Feature Extraction and Fully Connected Conditional Random Fields

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