Hongzhuang Dong

OrchardDA-YOLO: a semi-supervised domain adaptation object detection framework for orchard scenarios

OrchardDA-YOLO is introduced, a semi-supervised domain adaptation detection framework oriented toward edge deployment that combines a foreground-aware Task-aware Coordinate Attention module with a progressive cross-domain alignment strategy that enhances the model’s feature discriminability for occluded and small-scale targets.