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.
Power transmission line inspection robots: A review, trends and challenges for future research
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.