HIGHLIGHTS
- who: Construction Vehicle Detection and collaborators from the School of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang, China have published the research work: Combining Self-Supervised Learning and Yolo v4 Network for Construction Vehicle Detection, in the Journal: Mobile Information Systems of 20/09/2022
- what: The authors removed mosaic data enhancement and proposed cutout and mix-up based on self-supervision.
- how: To solve this problem this paper proposes the SSL-Yolo v4 algorithm to improve the original data enhancement method of Yolo v4 by contrast enhancement to improve the accuracy . . .
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