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I am working on a small project involving a Spatial Transformer Network (STN) to process images. I accidentally uploaded a branch with untested code, and now I'm facing an issue where my image tensor ...
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I’m new to the world of machine learning, so it could be that my question is trivial or incorrectly posed. I am using a moving dataset that I have forwarded to an STN network (Spatial Tranformation ...
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I'm implementing the basic architecture from this paper: https://arxiv.org/pdf/1705.08260.pdf in PyTorch. It consists of an autoencoder and Spatial Transformer. Output of the autoencoder is fed into ...
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Output feature map of a convolution layer is (Batch, Height, Width, Channels). When we initialize the CNN in tensorflow we get None value in place of Batch. I am trying to implement Spatial ...
Himanshu's user avatar
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After reading this post, I sort of understand how the network transforms images; however, I cannot get how it actually LEARNS which orientation is helpful for a subsequent classification step. Almost ...
WhaSukGO's user avatar
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TL;DR: How does RoI cropping method from Spatial Transformer Network works? Reading PyTorch Spatial Transformer Network tutorial I saw the network uses a special RoI pooling I haven't seen before ...
Jjang's user avatar
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