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## Abstract
- propose Vector Quantised Variational AutoEncoder (VQ-VAE)
- generative model that learns discrete representations
- prior is learnt rather than static
- solves the issue of "po…
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### Solution for overfitting:
1. Pre-training (Unsupervised) layer by layer (Greedy: RMB, autoencoder). Rather than random initialization
2. Fine-tuning (supervised)
Drop out:
each hidden unit has a …
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I can get latent code by using encoder network to invert real image, and then put it into pre-train StyleGAN2, I can get reconstruction result. It works well.
But I save this latent code as .npy and …
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Hi, thanks for your help so far! I have noticed that the mask embedding, which is computed at the first deformation loop
https://github.com/facebookresearch/Active-3D-Vision-and-Touch/blob/c10da8f944…
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Thanks for your work and i have read your paper. I have a question about the attention network.
In unsupervised setup, the losses are adversarial loss and cycle-consistency loss during early of t…
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On the website is video results, where the scale / shift are consistent across the video.
If I just run the method per frame, it is very obviously that these are not consistent.
Is there code to ma…
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The fully connected layers added on top of the capsule network consist of ~1.6m parameters, whereas the capsules only have roughly 60k trainable parameters in the _small_ configuration. As the matrix …
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Is there a general-purpose way to handle relations that define long connected lines (ie. [route](https://wiki.openstreetmap.org/wiki/Relation:route)/[waterway](https://wiki.openstreetmap.org/wiki/Rela…
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Hello,
I spent one week on testing siren and try to introduce it to my system. In my knowledge, the Relu network at least is able to come out a result with the averaged or balanced patterns from th…
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Hi,
Thank you for developing this tool—it's been working very well, especially in handling the organell missing wedge. However, its clear that most of the high-frequency side of data seems to be lo…