HIGHLIGHTS
- who: Huixuan Fu and colleagues from the College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China have published the Article: Bridge Crack Semantic Segmentation Based on Improved Deeplabv3+, in the Journal: (JOURNAL)
- what: Cracks are the main goal of maintenance and accurate detection of cracks will help ensure their safe use. The initial learning rate of the experiment is 0.001, and the Adam optimization trainer is used. Because the image size of the crack segmentation results in the paper are small, some magnified images with highlighted boxes are provided, so that . . .
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