# Fast Convergence Detection

DETA is a transformer-based object detection model that significantly improves training efficiency and detection performance by reintroducing IoU assignment and non-maximum suppression techniques.

DETA reintroduces IoU assignment and non-maximum suppression for transformer-based detectors, achieving comparable training and testing speeds to Deformable DETR while significantly faster convergence.