HIGHLIGHTS
- What: The fine-grained classification performance of the four models for D1, D2, and D3 is shown in Fig 7b-d. In this paper, a hierarchical classification model is proposed, utilizing the concept of model cascades and EfficientNet-B7, to intelligently recognize rail flaw B-scan images.
- Who: Guoxi Hu from the Baotou Railway Vocational and Technical College, Baotou, Inner Mongolia, China have published the Article: Rail Flaw B-Scan Image Analysis Using a Hierarchical Classification Model, in the Journal: (JOURNAL)
- How: To address this a hierarchical classification model was proposed integrating ultrasound . . .
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