Abstract: Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...

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Large-scale object detection datasets ... the ground truth bounding boxes as clear as possible. However, we observe that ambiguities are still introduced when labeling the bounding boxes. In this ...

The main challenge of monocular 3D object detection is the accurate localization of 3D center ... which combines the information flow from 2D-to-3D (3D bounding box proposal generation with a single ...

This study employs a deep learning-based object detection ... adaptive anchor box calculation. The backbone feature extraction network is utilized to extract features that are subsequently fused in ...