| pierluigiferrari/ssd_keras |
1,562 |
|
0 |
0 |
about 6 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| A Keras port of Single Shot MultiBox Detector |
| usuyama/pytorch-unet |
357 |
|
0 |
0 |
almost 6 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation |
| IBBM/Cascaded-FCN |
283 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
other |
Jupyter Notebook |
| Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields" |
| preritj/segmentation |
94 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
|
Python |
| Tensorflow implementation : U-net and FCN with global convolution |
| vuptran/cardiac-segmentation |
79 |
|
0 |
0 |
about 9 years ago |
0 |
|
4 |
|
Python |
| Convolutional Neural Networks for Cardiac Segmentation |
| JunshengFu/semantic_segmentation |
73 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
gpl-3.0 |
Python |
| Semantically segment the road in the given image. |
| pathak22/ccnn |
57 |
|
0 |
0 |
about 10 years ago |
0 |
|
2 |
other |
C++ |
| [ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation |
| sjain-stanford/deep-route |
48 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Training a deep FCN network in PyTorch to route circuit layouts |
| Yuliang-Zou/tf_fcn |
39 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
mit |
Python |
| A TensorFlow Implementation of Fully Convolutional Networks |
| wanglimin/Actionness-Estimation |
30 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
|
Matlab |
| Actionness Estimation Using Hybrid Fully Convolutional Networks |
