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.. role:: hidden
    :class: hidden-section

Dilated Networks
================
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We provide correct dilated pre-trained ResNet and DenseNet (stride of 8) for semantic segmentation. 
For dilation of DenseNet, we provide :class:`encoding.nn.DilatedAvgPool2d`.
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All provided models have been verified.
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.. note::
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    This code is provided together with the paper
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    * Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal. "Context Encoding for Semantic Segmentation"  *The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018*::

        @InProceedings{Zhang_2018_CVPR,
        author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
        title = {Context Encoding for Semantic Segmentation},
        booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
        month = {June},
        year = {2018}
        }
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.. automodule:: encoding.dilated
.. currentmodule:: encoding.dilated

ResNet
------

:hidden:`ResNet`
~~~~~~~~~~~~~~~~

.. autoclass:: ResNet
    :members:

:hidden:`resnet18`
~~~~~~~~~~~~~~~~~~

.. autofunction:: resnet18

:hidden:`resnet34`
~~~~~~~~~~~~~~~~~~

.. autofunction:: resnet34

:hidden:`resnet50`
~~~~~~~~~~~~~~~~~~

.. autofunction:: resnet50

:hidden:`resnet101`
~~~~~~~~~~~~~~~~~~~

.. autofunction:: resnet101

:hidden:`resnet152`
~~~~~~~~~~~~~~~~~~~

.. autofunction:: resnet152


DenseNet
--------

:hidden:`DenseNet`
~~~~~~~~~~~~~~~~~~

.. autoclass:: DenseNet
    :members:


:hidden:`densenet161`
~~~~~~~~~~~~~~~~~~~~~

.. autofunction:: densenet161


:hidden:`densenet121`
~~~~~~~~~~~~~~~~~~~~~

.. autofunction:: densenet121


:hidden:`densenet169`
~~~~~~~~~~~~~~~~~~~~~

.. autofunction:: densenet169


:hidden:`densenet201`
~~~~~~~~~~~~~~~~~~~~~

.. autofunction:: densenet201