The authors extend an infrared drone dataset with color and multichannel images, train YOLOv7 with attention modules that improve detection accuracy, and add a simple cross-correlation tracker that the paper says reduces missed detections by 2 to 10 percent.
A Dataset of Infrared Images for Deep Learning based Drone Detection,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
Drone Detection and Tracking with YOLO and a Rule-based Method
The authors extend an infrared drone dataset with color and multichannel images, train YOLOv7 with attention modules that improve detection accuracy, and add a simple cross-correlation tracker that the paper says reduces missed detections by 2 to 10 percent.