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## 一言でいうと
合成画像で学習できると良いけど独特のクセにより上手くいかない、という点を克服する試み。より「本物らしく」するNN対見破るNNで学習(GAN)。元からかけ離れた「本物化」を防ぐため元画像との差異を利用した正規化などの試みがとられている
### 論文リンク
https://arxiv.org/abs/1612.07828
### 著者/所属機関
Ash…
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https://arxiv.org/pdf/1612.07828.pdf
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Hello,
Can this method be used for semantic image segmentation? I have a dataset of unlabeled real images and a dataset of labeled synthetic images? Will the big resolution of the image be a proble…
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The pre-trained model was not provided, and execution to the model/init.py file failed. Could you please share the vit-small and vit-base pre-training models with me? Or provide a download link? Your …
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### Metadata
- Authors: Ming-Yu Liu, Xun Huang, +4 authors, Jan Kautz
- Organization: NVIDIA, Cornell University, Aalto University
- Paper: https://arxiv.org/pdf/1905.01723.pdf
- Code: https://git…
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## Notiuni de baza Machine Learning (ML) si Neuronal Networrks (NN)
1. Ce metode de trainining exista in ML (Learning modes)?
2. Ce este o retea neuronala (NN)?
3. Ce reprezinta greutatea (weight…
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create a summery to explain the paper and highlight some points and used approaches, in order to define new tickets
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https://news.developer.nvidia.com/ai-generated-faces-track-your-movements/
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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …