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I want to add "DC-GANs" technique in "18. Generative Adversarial Networks (GANs)", with GitHub repo. & Research paper reference. Please create a PR for the same. Thank you.
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http://grayxu.cn/2019/07/23/ST-GAN/
Intro这篇文章主要讲的是如何用GAN来做图片的组合生成。本文主要介绍的是ST-GAN: Spatial Transformer Generative Adversarial Networks。
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Hi.
I have noticed the operation here ( features = (features - 0.5)*2) in Generative Adversarial Networks (GAN). I don't understand why we need to do this here. The mean and variance of MINIST datas…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Sudoku Solver using CNN
:red_circle: **Aim** :
Network was able to solve the puzzles with 95% accurac…
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https://renming-huang.github.io/article/2022/05/12/StyleGAN%E8%AE%BA%E6%96%87%E9%98%85%E8%AF%BB/
借鉴了风格迁移的相关文献，提出了生成对抗网络的生成器架构，新的架构能够自动学习high-level 属性实现无监督分离和生成图像的随机变化，并且它能直观的再特定尺度上控制图像合成。新的生成器能获得更好…
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Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…
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Thank you for making the code available. I'd like to ask a question about Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.
The paper extends the…
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Hi,
I have run the code mnist_catgan.py and I am confused of the formulas of L_D and L_G, which seem to be different from the original paper (UNSUPERVISED AND SEMI-SUPERVISED LEARNING WITH CATEGORI…
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### Evaluation
- [ ] [Confusion matrices](https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62)
- [Source 2](https://en.wikipedia.org/wiki/Confusion_matrix)
- [ ] [Precision…
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- [x] face_detection/retinaface
- [x] image_segmentation/dense_prediction_transformers
- [x] image_segmentation/pytorch-unet
- [x] object_tracking/bytetrack
- [x] super_resolution/han
- [x] super…