An enhanced YOLOv8 model with Ghost Module, CBAM, and DCNv2 achieves 95.4% mAP@0.5 on the KITTI dataset for vehicle detection, an 8.97% gain over the baseline.
YOLOv5-CBAM: A Small Object Detection Model Based on YOLOv5 and CBAM
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Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems
An enhanced YOLOv8 model with Ghost Module, CBAM, and DCNv2 achieves 95.4% mAP@0.5 on the KITTI dataset for vehicle detection, an 8.97% gain over the baseline.