jwchoi384/Gaussian_YOLOv3
A YOLOv3-based object detector that predicts localization uncertainty to improve detection accuracy for autonomous driving.
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This repository implements Gaussian YOLOv3, a deep neural network for object detection that incorporates localization uncertainty into the detection process. Built on the official YOLOv3 darknet implementation, it modifies the model to output uncertainty estimates alongside bounding box predictions. The approach was published at ICCV 2019 and was validated on the Berkeley DeepDrive (BDD) dataset for autonomous driving applications.
Frequently asked
- What is jwchoi384/Gaussian_YOLOv3?
- A YOLOv3-based object detector that predicts localization uncertainty to improve detection accuracy for autonomous driving.
- Is Gaussian_YOLOv3 open source?
- Yes — jwchoi384/Gaussian_YOLOv3 is an open-source project tracked on heatdrop.
- What language is Gaussian_YOLOv3 written in?
- jwchoi384/Gaussian_YOLOv3 is primarily written in C.
- How popular is Gaussian_YOLOv3?
- jwchoi384/Gaussian_YOLOv3 has 671 stars on GitHub.
- Where can I find Gaussian_YOLOv3?
- jwchoi384/Gaussian_YOLOv3 is on GitHub at https://github.com/jwchoi384/Gaussian_YOLOv3.