A framework for enhancing noisy ground truths in network-like infrastructure by leveraging domain-specific graph constraints and optimization properties to improve overall segmentation results.
-
Updated
Oct 4, 2024 - Python
#
roadsegmentation
Here are 2 public repositories matching this topic...
A deep learning-based road segmentation model for autonomous vehicles, MESNet integrates ResNet-50, VGG-16, and PSPNet to achieve high accuracy and precision in diverse environments. Trained on the KITTI dataset, it handles real-time road segmentation tasks with robust performance metrics.
autonomous-car segmentation autonomous-driving autonomous-vehicles segmentation-model segmentation-models roadsegmentation mesnet
-
Updated
Sep 9, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the roadsegmentation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the roadsegmentation topic, visit your repo's landing page and select "manage topics."