GAOC: A Gaussian Adaptive Ochiai Loss for Bounding Box Regression
Bounding box regression (BBR) loss plays a critical role in object detection within computer vision. Existing BBR loss functions are typically based on the Intersection over Union (IoU) between predicted and ground truth boxes. However, these methods neither account for the effect of predicted box s...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2026-01-01
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| Sarja: | Sensors |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/1424-8220/26/2/368 |
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