YOLO26-MoE with LLM-agent optimization reaches 0.9900 mAP@0.5 and 0.9515 mAP@0.5:0.95 on UAV insulator fault detection.
Site landscape design optimization based on YOLOv13 and multi-task bayesian federated learning (YOLOv13-HyperACE-BFL)
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A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images
YOLO26-MoE with LLM-agent optimization reaches 0.9900 mAP@0.5 and 0.9515 mAP@0.5:0.95 on UAV insulator fault detection.