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Could I talk to you about the article 《MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction》?
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I want to ask a question to clarify certain training details. In the paper, you mentioned that "Suppose the reconstruction network has T initial reconstructions and T final reconstructions, we have 2T…
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## Current state
* `RHSFunctionSWE` calls `DMGlobalToLocalBegin`/`End` to update ghost cells. This will always be necessary.
* `RDyCeedOperatorApply` computes fluxes on *owned* edges and sums the …
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### **Introduction and background**
The problem presented in this paper deals with a primary focus in systems biology; mainly, the identification of a networks reactions that yield a set of pathways …
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(1) I replaced different training sets, and this problem always occurred during training. The loss has been decreasing, but the highest PSNR value is often the beginning epoch.
![WechatIMG1811](htt…
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Hi, thanks for your great work!
I run demo.py on Orin with Ubuntu20.04 and met a error on dpviewer. Here is the output:
$ python demo.py --imagedir=movies/IMG_0492.MOV --calib=calib/ipho…
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Hi, I have been trying to train the NP network from scratch on CIFAR-10 and VOC 2007 datasets. However, even with the recommended hyperparameter settings, the reconstruction results are blurred, where…
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We could have possibly the following examples:
- [ ] A simple U-Net (pulled from fastMRI dataset possibly), trained? @Lenoush can you handle this in your free time?
- [ ] A network built with DeepIn…
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Hi, thank you for sharing your work. I would like to ask a simple question to help strengthen my understanding.
If I directly use the multi-scale backbone features and skip the reconstruction stage a…
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FFNs have been very successful for Google on dense volumetric EM data. Wonder if it could be adopted to brightfield.
- [ ] [Their demo inference notebook](https://github.com/google/ffn/blob/master/…