AmineMarnissi/UDAT

The alignment of feature distributions between visible and thermal domains is crucial for achieving effective object detection. Our proposed adaptive detector, integrated into the faster R-CNN architecture, tackles the domain shift problem and enhances overall performance. Experimental evaluations are demonstrated on the KAIST and FLIR ADAS dataset

Python