What is DET?

DET, which stands for "Detection Transformer", is a type of deep learning model architecture primarily used for object detection tasks. It leverages the transformer architecture, originally designed for natural language processing, to predict bounding boxes and object classes in images. Commonly it is used for tasks like autonomous driving, object recognition in image and video, and anomaly detection. Further details would depend on the specific variant or implementation being referenced.