Comments (2)
And why Sek has a negative number during training.
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Hi,
The test set is not provided with labels, so the validation sets are also used for testing.
As for SeK it is normal to have negative values, which means bad performance in predicting the semantic categories.
from bi-srnet.
Related Issues (20)
- 优化器和学习率 HOT 1
- 学习率和优化器 HOT 1
- Can you share the implementation of the compared methods? HOT 3
- Code HOT 1
- How to set the random seed function? HOT 2
- 运行train_SCD.py报错MemoryError HOT 2
- other dataset HOT 6
- Eval_SCD输入问题 HOT 1
- About source code HOT 1
- In Eval_SCD.py HOT 5
- About pretrained_model
- When training three channel labels, an error occurred during running the validation set
- out of memory(your code) HOT 1
- 论文中LSC语义一致性损失 HOT 1
- MEAN_A = np.arry([113.40,114.08,116.45])
- MEAN_A = np.array([113.40,114.08,116.45]) STD_A = np.array([48.30,46.27,48.14]) HOT 4
- Regarding changing the network to a single semantic change mask HOT 1
- Hi author, I would like to ask if the label image in your code is a grayscale image
- 关于验证的问题 HOT 1
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from bi-srnet.