AI/U-2-Net
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input size and readme

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Nathan Qin 2020-05-16 13:59:06 -06:00
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README.md
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@ -7,11 +7,11 @@ __Contact__: xuebin[at]ualberta[dot]ca
## News !!!
**(2020-May-16)** The official paper of **U^2-Net (U square net)** [PDF in elsevier](https://www.sciencedirect.com/science/article/pii/S0031320320302077?dgcid=author) is now available. If you are not able to access that, please feel free to drop me an email.
**(2020-May-16)** The official paper of our **U^2-Net (U square net)** ([**PDF in elsevier**](https://www.sciencedirect.com/science/article/pii/S0031320320302077?dgcid=author)) is now available. If you are not able to access that, please feel free to drop me an email.
**(2020-May-16)** We fixed the upsampling issue of the network. Now, the model should be able to handle **arbitrary input size**. (Tips: This modification is to facilitate the retraining of U^2-Net on your own datasets. When using our pre-trained model on SOD datasets, please keep the input size as 320x32 to guarantee the performance.)
**(2020-May-16)** We highly appreciate **Cyril Diagne** for building this fantastic AR project: [AR Copy and Paste](https://github.com/cyrildiagne/ar-cutpaste) using our **U^2-Net** (Qin *et al*, PR 2020) and [**BASNet**](https://github.com/NathanUA/BASNet)(CVPR19, Qin *et al*, CVPR 2019). The [demo video](https://twitter.com/cyrildiagne/status/1256916982764646402) in twitter has achieved over **5M** views, which is phenomenal and shows us more probabilities of SOD.
**(2020-May-16)** We highly appreciate **Cyril Diagne** for building this fantastic AR project: [**AR Copy and Paste**](https://github.com/cyrildiagne/ar-cutpaste) using our **U^2-Net** (Qin *et al*, PR 2020) and [**BASNet**](https://github.com/NathanUA/BASNet)(CVPR19, Qin *et al*, CVPR 2019). The [**demo video**](https://twitter.com/cyrildiagne/status/1256916982764646402) in twitter has achieved over **5M** views, which is phenomenal and shows us more probabilities of SOD.
## U^2-Net Results (173.6 MB)