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34

168

mit

7

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

map maps paper mapping eccv2020 road-graph deep-learning openstreetmap computer-vision road-extraction machine-learning artificial-intelligence

Created 2020-07-19

140 commits to master branch, last one about a year ago

Label-Pixels venkanna37

25

70

unknown

5

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery an...

gdal unet keras segnet resunet tensorflow msc-project label-pixels segmentation deep-learning pixel-labeling remote-sensing road-extraction machine-learning satellite-imagery semantic-segmentation artificial-intelligence fully-convolutional-networks satellite-image-segmentation

Created 2020-05-16

80 commits to master branch, last one 2 years ago

ResUnet-a Akhilesh64

13

35

mit

2

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

keras resunet tensorflow segmentation deep-learning remote-sensing road-detection road-extraction contour-detection road-segmentation satellite-imagery boundary-detection image-segmentation semantic-segmentation convolutional-neural-networks

Created 2021-06-07

39 commits to main branch, last one 3 years ago