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Writing the basics of polynomial rings, I am scratching my head about a good definition of such.
The first idea that comes to mind is to define R[X] as the sum over n:N of Rn[X], where the latter t…
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### 🐛 Describe the bug
The Caltech101 dataset loads grayscale images as a single channel, resulting in errors when collating images into a batch.
Code to reproduce:
````python
from torchvision.d…
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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## Description
This issue concerns ONLY the reproduction of Wang 2022 table 1 without manually imposing equivariance (varying alpha, for that see meta issue #61)
## Configurations
The models…
dgcnz updated
1 month ago
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Hi Prince,
Really like the book so far! It's very much straight to the point and clear most of the time with good explanations.
Now to my question, I'm sure I'm misunderstanding something here, bu…
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### 論文へのリンク
[[arXiv:2010.03019] Global Self-Attention Networks for Image Recognition](https://arxiv.org/abs/2010.03019)
### 著者・所属機関
Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli, Xuhui Jia,…
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Hi Dr. Cohen - thanks so much for providing the GrouPy and gconv_experiments repos.
I was wondering about the correct way to implement a coset max-pool on the output of y in your Tensorflow example…
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Hello
I did a simple experiment where I created a random signal x on SO(3) (I tried multiple bandwidths = 20,30,40). Then I computed the FFT using
x_fft = SO3_fft_real.apply(x)
Finally, I co…
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Hi, thank you for sharing the code.
The bug occurs when I edit the config file to use the VN_Regressor to predict the pose. So I wonder if the program supports the VN_Regressor.
Here's where the b…
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Hi ! Dear authors, your derivation in this paper is very rigorous and amazing! Including RFdiffusion, there are two SE(3) equivariant models for protein structure generation based on diffusion model. …