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A module that can be implanted in a CNN network, allowing learning invariance to various transformations -- and so achieves better results on many benchmarks.
Introduction: https://kevinzakka.githu…
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# Spatial Transformer Networks #
- Author: Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
- Origin: [http://www.gitxiv.com/posts/5WTXTLuEA4Hd8W84G/spatial-transformer-networks]…
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* https://arxiv.org/abs/1506.02025
딥마인드
* 참고 블로그 : [링크](https://jamiekang.github.io/2017/05/27/spatial-transformer-networks/)
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Hi,
I am opening this issue because I noticed a weird behavior of the the spatial transformer networks implementation (https://github.com/pytorch/tutorials/blob/78e91c54dd0cd4fb0d02dfcc86fe94d16ab0…
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Spatial Transformers act as a warping / attention mechanism useful for a variety of tasks.
There's a handful of repositories implementing STN for Caffe, see https://github.com/BVLC/caffe/issues/3114
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beniz updated
7 years ago
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- Related:
- [https:…
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Hi,
I don't know if the STNs could be considered relevant enough to include them in this repo; however, I currently have an implementation of the STN layer [in this gist](https://gist.github.com/oarr…
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1.(HMMR) Learning 3d human dynamics from video(2019)
temporal encoder: **1D temporal** convolutional layers, **precompute** the image features on each frame, get current and ±∆t frames prediction.
c…