Jul 3, 2020 · In this paper, we address the above-mentioned problem by proposing a novel tracking method based on a distance-IoU (DIoU) loss.
The DIoU loss can maintain the advantage provided by the IoU loss while minimizing the distance between the center points of two bounding boxes, thereby making ...
A novel task-aligned component and a new loss function, named task- aligned loss, are designed and introduced to learn the alignment of the classification ...
Jan 20, 2022 · Comprehensive experimental results demonstrate that the proposed method achieves competitive tracking accuracy when compared to state-of-the-art ...
Accurate bounding-box regression with distance-IoU loss for visual tracking ... IoUformer: Pseudo-IoU prediction with transformer for visual tracking.
Jul 17, 2020 · The DIoU loss can maintain the advantage provided by the IoU loss while minimizing the distance between the center points of two bounding boxes, ...
In this paper, we take thorough studies to exploit the potential of current BBR losses for accurate object detec- tions. Firstly, an Efficient IOU loss (EIOU) ...
People also ask
How do you calculate the IoU between two bounding boxes?
What is bounding box regression loss?
Jul 19, 2022 · The regression of bounding boxes is a crucial step in object detection ... Distance-iou loss: Faster and better learning for bounding box.
Furthermore, this paper summarizes three geometric factors in bounding box regression, i.e., overlap area, central point distance and aspect ratio, based on ...
Missing: visual | Show results with:visual
Jun 13, 2023 · Generally, object detection needs two loss functions, one for object classification and the other for bounding box regression. This article will ...
Missing: tracking. | Show results with:tracking.