With Fitness NMS we modify the score(.) func- tion to better select bounding boxes which maximise their estimated IoU with the groundtruth, and with Bounded IoU.

Nov 1, 2017 · We propose a simple and fast modification to the existing methods called Fitness NMS. This method is tested with the DeNet model and obtains a significantly ...

With Fitness NMS we modify the score(.) func- tion to better select bounding boxes which maximise their estimated IoU with the groundtruth, and with Bounded IoU.

A simple and fast modification to the existing methods called Fitness NMS is proposed and obtains a significantly improved MAP at greater localization ...

Sep 8, 2024 · An improved NMS method has been proposed to handle repeated detections [2], as well as new modules such as Fitness NMS and Bounded IoU Loss [40] ...

We propose a simple and fast modification to the existing methods called Fitness NMS. This method is tested with the DeNet model and obtains a significantly ...

The approach consists of three steps: a rough eye localization using projection technique, a white color thresholding to extract white sclera, and an ellipse ...

Aug 13, 2018 · Lachlan Tychsen-Smith, Lars Petersson: Improving Object Localization with Fitness NMS and Bounded IoU Loss. CoRR abs/1711.00164 (2017).

Improving Object Localization with Fitness NMS and Bounded IoU Loss Lachlan Tychsen-Smith, Lars Petersson CSIRO (Data61), CSIRO-Synergy Building, Acton, ACT ...

Computing the IoU loss between a set of predicted bboxes and target bboxes. ... This is an implementation of paper `Improving Object Localization with Fitness NMS ...