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**最终复现方案**
https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114410
目标分割+分类
视觉分割类, 赛题是针对钢板表面的图像，区分出四种瑕疵类型，并且分割出每种瑕疵类型所对应的位置与区域---语义分割。评测指标是Dice coefficient。
evaluated …
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Dear @cwmok
I sincerely appreciate your excellent work, but I have encountered several issues while reproducing this paper.
Firstly, regarding the number of iterations, I found that the iteration n…
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https://github.com/tmbdev/teaching-dca
Thomas_Breuel 开授的课程
1.转换成pdf
2.pdf转换成html
3.翻译
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
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Hi there, excellent work on the paper. I've noticed that the experiments seem to primarily utilize a semi-supervised (self-training) paradigm. I'm curious about the specific application of PointSAM fo…
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Hello, for your very large contribution to the article, can you share the model weight file corresponding to the results of the article
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Hi,
Could you add the paper "Semi-Supervised Semantic Segmentation via Marginal Contextual Information" from 2023 on arxiv?
https://arxiv.org/abs/2308.13900
It also apear on paperswithcode
https…
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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I have noticed a particularity regarding the French corpus.
Only the prefix I- is used to tag named-entities. Is this because, in fact, there is no need to use the B- prefix (when there are two dif…