What is DETR (DEtection TRansformer) architecture?

DETR reformulates object detection as a set prediction problem using Transformers.

DETR uses a CNN backbone for feature extraction and a Transformer encoder-decoder to directly predict a fixed set of object queries. It removes the need for anchor boxes and non-max suppression by using bipartite matching (Hungarian algorithm) to assign predictions to ground truth objects.