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- "Feature Pyramid Network for Multi-Class Land Segmentation", CVPRW 2018
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Hi, thanks for sharing your great work.
However, I think it would be nice of you to provide a proper training code for the reproducibility. As you know, the Mosh SMPL parameter data from Human3.6M…
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Hi there,
This is a bit of a meta-question.
I noticed that your [code](https://github.com/HobbitLong/CMC/blob/master/models/alexnet.py#L25) uses the original AlexNet parameters i.e. with convo…
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Hello
Where can we found the model called _track12_ta224_checkpoint_ep500.pth.tar_ that you mention in the README file that we should paste it into _./log/_ folder ??
Thank you
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Hi,
Thanks for you nice work in CVPR 2019. It's really interesting and provides strong results.
However, I found the adversarial example generation process is not clearly described in both paper…
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## 書誌情報
### 論文リンク
### 著者/所属機関
Ekin D. Cubuk∗†, Barret Zoph†
, Dandelion Mane, Vijay Vasudevan, Quoc V. Le
Google Brain
### conf/journal
CVPR
### year
2019
## どんな論文か？
Augmentationの自動化に関する論…
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Hi, can you give me the paper link?
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### 論文へのリンク
[[arXiv:2010.09893] LT-GAN: Self-Supervised GAN with Latent Transformation Detection](https://arxiv.org/abs/2010.09893)
### 著者・所属機関
Parth Patel, Nupur Kumari, Mayank Singh, Balaji…
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## 一言でいうと
ネットワークの構造探索を効率的に行う手法の提案。範囲としてはセル構造の探索で、stride=1の標準セルとstride=2のダウンサイズするセルの2つを探索し、所与のネットワークに当てはめる。構造をDAGで定義し、パスのサンプリング自体を微分可能にすることでE2Eで最適化を行う
![image](https://user-images.githubuserconte…