Comments (1)
Hi,
Yes.
Best
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Related Issues (20)
- 训练集与测试集 HOT 1
- 关于对比实验 HOT 1
- Can't download CVC-ColonDB and ETIS in the official web HOT 1
- complete CVC300 dataset HOT 1
- Could you please provide the code of the comparison model resunet++ and other comparison models HOT 1
- can you share SFA'code? HOT 2
- About assessment tools HOT 2
- 关于修改数据集
- What is included in the data set mentioned here? The training set has 1450 images, but it seems that there are two data set files, but the test set has 5 data sets? HOT 6
- Res2Net weights HOT 1
- question about mask of Kvasir dataset HOT 1
- 训练集和测试集 HOT 6
- 请问网络输出的概率图是如何转换为黑白图像的? HOT 2
- main.m NaN HOT 3
- Structure loss for multi-classs HOT 1
- Hello! Author, I am very sorry for taking up your precious time. Recently, I am studying one of your papers-PraNet: Parallel Reverse Attention Network for Polyp Segmentation. In the process of learning PraNet network, there is a question that has puzzled me. The problem is as follows: In the Loss Function section of Section 2.3, ' the weighted IoU loss and binary cross entropy (BCE) loss for the global restriction and local (pixel-level) restriction.' What do "global restriction and local restriction" mean exactly? Thank you! HOT 1
- About pre-training weights
- Released model weight trained on all datasets' training data?
- 关于最后预测图像的问题
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