Output size formula:
o = [i + 2p - k - (k-1)(d-1)]/s + 1
Where,
- i: input size
- p: pad
- k: Kernel size
- d: dilation factor
- s: stride
- https://www.youtube.com/watch?v=t2L9VnGi7hA
- https://arxiv.org/pdf/1709.00179.pdf
- https://ezyang.github.io/convolution-visualizer/index.html
- https://arxiv.org/pdf/1706.05587.pdf
- https://blog.exxactcorp.com/atrous-convolutions-u-net-architectures-for-deep-learning-a-brief-history/
- https://arxiv.org/pdf/1706.05587.pdf
- http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review
- https://towardsdatascience.com/review-dilated-convolution-semantic-segmentation-9d5a5bd768f5