RoI based refinement first time applied for attention model to achieve effective sparse attention; Queries learned only from features inside enlarged RoI, key and values learned from decoder features

generally improves the training speed of DETR variants (e.g., DETR and Deformable DETR) and accuracy

effective locality modeling is important for reducing the training difficulty of attention in DETR