Our paper was accepted at the NeurIPS workshop on Diffusion Models! It’s about efficient domain transfer, using semi-supervised learning. A model was trained on frontal images from MS-COCO, but we want to apply it to drone images that look very different. The objects are much smaller and the viewpoint is very different.

First, we improve the recall of the method, by accumulating detections. Next, we use the improved detections as pseudo-labels for the unlabeled images, combined with 10 labeled images, in a semi-supervised setup.

The performance can be improved, as shown below, from left (original model), middle (improved recall) to right (semi-supervised learning).

See Publications for more information.