PyTorch implementation of Fully Convolutional Networks.
git clone https://github.com/wkentaro/pytorch-fcn.git
cd pytorch-fcn
pip install .
# or
pip install torchfcn
See 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 |
Visualization of validation result of FCN8s.
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}
}