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Hao-Kun Li

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Conference Oct 2026

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...

Hao-Kun Li · 0 citations

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