Research on road crack detection in complex background based on MFF-YOLO

• Published in: 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) pp. 919 - 924
• Main Authors: Ma, Mingyang, Song, Shucai, Li, Hongxin, Zhang, Bo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.01.2024
• Subjects: Adaptation models; BIFPN; Computational modeling; Deep learning; loss function; Roads; Splicing; Target recognition; Training; YOLOv8

Road crack detection occupies a very important position in highway maintenance. With the development of deep learning, target detection has come into the public's view, facing the road crack data with irregular shape, complex pavement background and huge amount of data, seeking high precision,...