https://github.com/astrogilda/partial_conv-tensorflow
Simple Tensorflow implementation of "Partial Convolution based Padding" (partialconv)
Science Score: 10.0%
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Simple Tensorflow implementation of "Partial Convolution based Padding" (partialconv)
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Fork of taki0112/partial_conv-Tensorflow
Created over 6 years ago
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https://github.com/astrogilda/partial_conv-Tensorflow/blob/master/
# PartialConv-Tensorflow Simple Tensorflow implementation of [Partial Convolution based Padding](https://arxiv.org/abs/1811.11718)  ## How to use ```python # typical convolution layer with zero padding x = conv(x, channels, kernel=3, stride=2, use_bias=True, padding='SAME', scope='conv') # partial convolution based padding x = partial_conv(x, channels, kernel=3, stride=2, use_bias=True, padding='SAME', scope='conv') ``` ## Results ### Activation map  ### ImageNet Classification  ### Segmentation (DeepLab V3+)   ## Author Junho Kim
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- Name: Sankalp Gilda
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Machine Learning Engineer | Ph.D., Astronomy