IoU-Net

2000년 도입 · 논문 3편에서 사용

IoU-Net is an object detection architecture that introduces localization confidence. IoU-Net learns to predict the IoU between each detected bounding box and the matched ground-truth. The network acquires this confidence of localization, which improves the NMS procedure by preserving accurately localized bounding boxes. Furthermore, an optimization-based bounding box refinement method is proposed, where the predicted IoU is formulated as the objective.

출처: Acquisition of Localization Confidence for Accurate Object Detection

소개 논문: Acquisition of Localization Confidence for Accurate Object Detection