SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
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Updated
Jul 5, 2021 - Python
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
Road Segmentation in Satellite Aerial Images
2D road segmentation using lidar data during training
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.
A course project for road segmentation using a U-Net Convolutional Neural Network on the KITTI ROAD 2013 dataset
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
YOLOPv2のPythonでのONNX推論サンプル
Multi-Modal Multi-Task (3MT) Road Segmentation, IEEE RA-L 2023
Segmenting satellite images of earth : determining which parts are roads.
Road Segmentation using Deep Learning
🎓 ML project for EPFL course CS-433 Machine Learning. Comparing ResNet and UNET for a road segmentation task.
Semantic segmentation of road networks in high-resolution satellite images using a deep neural network architecture.
Project for CS-433 Machine Learning @ EPFL
Pixel wise semantic segmentation for highway roads using FCN-8 architecture
FCN implementation for road segmentation
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
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