Fig. 1.

The main steps of our proposed detection framework. The detection pipeline encompasses three essential processes: (1) The encoder and feature extractor receive data, perform data augmentation, and extract features; (2) The detector outputs detection boxes and updates the network using Focal loss and GIoU loss; (3) Perform post-processing of the prediction boxes through WBF to output the detection results, as detailed further in “Domain adaptation via adversarial learning”.