PyTorch implementation of Fully Convolutional Networks.
git clone https://github.com/wkentaro/pytorch-fcn.git
cd pytorch-fcn
pip install .
# or
pip install torchfcnSee VOC example.
At 10fdec9.
| Model | Implementation | epoch | iteration | Mean IU | Pretrained Model |
|---|---|---|---|---|---|
| FCN32s | Original | - | - | 63.63 | Download |
| FCN32s | Ours | 11 | 96000 | 62.84 | |
| FCN16s | Original | - | - | 65.01 | Download |
| FCN16s | Ours | 11 | 96000 | 64.91 | |
| FCN8s | Original | - | - | 65.51 | Download |
| FCN8s | Ours | 7 | 60000 | 65.49 | |
| FCN8sAtOnce | Original | - | - | 65.40 | |
| FCN8sAtOnce | Ours | 11 | 96000 | 64.74 |
If you use this project in your research or wish to refer to the baseline results published in the README, please use the following BibTeX entry.
@misc{pytorch-fcn2017,
author = {Ketaro Wada},
title = {{pytorch-fcn: PyTorch Implementation of Fully Convolutional Networks}},
howpublished = {\url{https://github.com/wkentaro/pytorch-fcn}},
year = {2017}
}