Bounding Box Regression with Uncertainty for Accurate Object Detection - Mike Hung's ML/DS/DL/AI

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Bounding Box Regression with Uncertainty for Accurate Object Detection

Large-scale object detection datasets (e.g., MS-COCO) try to define the ground truth bounding boxes as clear as possible. However, we observe that ambiguities are still introduced when labeling the bounding boxes. In this paper, we propose a novel bounding box regression loss for learning bounding b…

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Bounding Box Regression with Uncertainty for Accurate Object Detection

arxiv.org/abs/1809.08545

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