Scarce samples learning in traffic object detection based on improved YOLOv8s
Aiming at poor detection performance of YOLOv8s for scarce traffic samples in domestic road scenes, this paper proposes FCC-YOLOv8s with three optimizations. A Feature Similarity Fusion Module (FSFM) adopts dual-distance metric learning to reduce data dependence via a feature reference library. Improved CCIoU loss supp...