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Maybe you could update the top-one performance on GOT-10k by https://arxiv.org/pdf/2103.15436.pdf
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It is a great job about your paper _Learning Placeholders for Open-Set Recognition_ in CVPR2021. When the code is to be accessible in GitHub? Thank you for your contribution to open-set recognition.
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Hello,
Thank you for the code and the project, it looks awesome.
Could you please help with an issue I face when running `python example.py`:
```
FileNotFoundError: [Errno 2] No such file o…
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Hi, thank you for the interesting work.
I want to reproduce your results but I don't have much gpu budget for the hyperparameter search.
Can you tell the hyperparameters you found for the experi…
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Hi, will DDAD hold a challenge in cvpr2021? And where can i find a benchmark of DDAD?
Much thanks!
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Hi,
Congratulations on the amazing work for CVPR21 paper! Just wonder when the code base will be released. Thanks!
Best,
Xiaolong
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I'm really impressed with your work. Also, how well does this compare with other algorithms for traditional bayer sensors?
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jiwei,您好
首先感谢你们辛苦制作的DUT数据集。
我发现在你们在DMRA这篇文章中的DUT数据集的结果(比如DMRA,CPFP等)是采用DUT单独训练得到的,而在20年和21年的其他文章中都采用NJU2K+NLPR+DUT(比如:CONet,SSF等)一起训练得到的DUT的结果。
我想请教您,请问通过不同训练集分法得到DUT结果一起对比是否…
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## 📚 Documentation
* Link to the relevant documentation/comment/tutorials:
External project link: https://github.com/facebookresearch/detectron2/tree/master/projects
CVPR21 BCNet code: https://gi…
lkeab updated
3 years ago
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```
Cloning into 'BoostingMonocularDepth'...
remote: Enumerating objects: 149, done.
remote: Counting objects: 100% (149/149), done.
remote: Compressing objects: 100% (119/119), done.
remote: Tot…