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Could you please provide the command about finetune and semi-supervised learning on tf2. I just find the command on tf1 and I find that is not appliable for tf2
Thank you!
Yong
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Hi, I tried to use `SemiBaseDetector` to improve the performance of RTMDet using additional unlabeled data. But I found the teacher model gives an empty prediction while the student model can reach 59…
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https://fenghz.github.io/semi-supervised-learning-copy/
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[`hybrid.R`](https://github.com/RECETOX/recetox-aplcms/blob/master/R/hybrid.R) is a refactored version of **Hybrid** method, originally implemented in [`semi.sup.R`](https://github.com/RECETOX/recetox…
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Hi there,
I have a dataset with 2000 participants who reported their most negative daily event for 90 days. They completed three questions related to their most negative event:
(1) an open-ended …
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Can this code (pygcn) be used directly in transductive learning? I notice that the train loss (in train.py) is calculated as `loss_train = F.nll_loss(output[idx_train], labels[idx_train])`, but in pap…
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Thank you for your work, it's very interesting, but I have a question.
Is it okay to perform semi-supervised attention when your teacher's data augmentation and your student's data augmentation are…
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Hi,
I have allx but i do not have ally (tagged labels) in this case how to make model train in semi-supervised (inductive learning) as mentioned in https://github.com/kimiyoung/planetoid way. Pleas…
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- https://proceedings.neurips.cc/paper/2019/hash/1cd138d0499a68f4bb72bee04bbec2d7-Abstract.html
- 2019 NeurIPS
半教師付き学習は、大規模なラベル付きデータセットへの依存を軽減するために、ラベルのないデータを活用する強力なパラダイムであることが証明されている。
本研究では、半教師付…
e4exp updated
3 years ago
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代码中的weak_aug采用flip,strong_aug采用色彩增强,这个操作有啥理论支撑吗?在各数据集中都是有效的吗?
我的数据对颜色比较敏感,在监督训练中使用色彩增强效果较差。
对于色彩敏感的任务,strong_aug应该怎么设置?是否有可分享的经验?
感谢!