[HTML][HTML] An efficient forest fire target detection model based on improved YOLOv5

L Zhang, J Li, F Zhang - Fire, 2023 - mdpi.com
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5.

L Zhang, J Li, F Zhang - Fire, 2023 - go.gale.com
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5

L Zhang, J Li, F Zhang - Fire, 2023 - search.proquest.com
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5.

L Zhang, J Li, F Zhang - Fire (2571-6255), 2023 - search.ebscohost.com
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

An efficient forest fire target detection model based on improved YOLOv5

L Zhang, J Li, F Zhang - Fire (Basel, Switzerland), 2023 - safetylit.org
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

An efficient forest fire target detection model based on improved YOLOv5

L Zhang, J Li, F Zhang - Fire (Basel, Switzerland), 2023 - safetylit.org
To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …