H. Samma

Automatic Road-Crack Detection with Self-Supervised YOLOv7 in Drone Imagery

Supervised object detection models rely on large training datasets to achieve good performance. However, data labeling is often an expensive and time-consuming task. To mitigate this challenge, self-supervised methods have been utilized to learn representations from unlabeled data. Accordingly, this study uses self-sup...