A YOLOv11 variant with EfficientNet and squeeze-and-excitation attention is claimed to find PV thermal anomalies at 90.8% mAP, but no code, data, or baseline training details are provided.
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HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
A YOLOv11 variant with EfficientNet and squeeze-and-excitation attention is claimed to find PV thermal anomalies at 90.8% mAP, but no code, data, or baseline training details are provided.