Comments (7)
都用sigmoid试一下?原版QAM使用的都是sigmoid。也可以检查一下你加到STCN里时gt的iou等处是否存在bug
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Have you solved this problem?
I also meet it): when i pretrain on static s0.
Here is my mask_score and gt_score
did the sigmoid work?
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Have you solved this problem? I also meet it): when i pretrain on static s0. Here is my mask_score and gt_score did the sigmoid work?
你好,这是怎么跑起来的,可以请教一下吗
from qdmn.
Have you solved this problem? I also meet it): when i pretrain on static s0. Here is my mask_score and gt_score did the sigmoid work?
你好,这是怎么跑起来的,可以请教一下吗
原版的QDMN的我没跑过,我是把他的模块加到STCN上面的
from qdmn.
Have you solved this problem? I also meet it): when i pretrain on static s0. Here is my mask_score and gt_score did the sigmoid work?
你好,这是怎么跑起来的,可以请教一下吗
原版的QDMN的我没跑过,我是把他的模块加到STCN上面的
OK,谢谢
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我之前跑的时候就是用sigmoid的
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Have you solved this problem? I also meet it): when i pretrain on static s0. Here is my mask_score and gt_score did the sigmoid work?
你好,这是怎么跑起来的,可以请教一下吗
原版的QDMN的我没跑过,我是把他的模块加到STCN上面的
能请教一下怎么加的吗?太菜了,想学习一下
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Related Issues (19)
- Is the input dimension of Score 256 when QAM is used in STCN? HOT 3
- I use QAM for training, the number of iterations is 75K, but the loss only drops to about 0.5, is this normal?And how much does the final loss value of the original code drop? HOT 12
- When the QAM is used in STCN,is the iterations the same as STCN? HOT 1
- 您好,请问论文中为什么不使用L2 distance而是dot product呢,是L2 distance效果比dot product差吗 HOT 2
- 您好,注意到您的代码变了,请问是之前的代码有问题吗? HOT 2
- 请问预训练阶段是不需要调整学习率的吗?代码中预训练时的steps比它的迭代次数还要大 HOT 6
- checkpoint file HOT 1
- train.py启动问题 HOT 5
- 关于预训练的问题 HOT 3
- Questions about pre-training HOT 19
- Do you train the whole network when you apply QAM in STCN? HOT 1
- May ask the result when you use the global average pooling layers in the code of QAM module? HOT 1
- youtube2018 HOT 2
- Adding QAM only in STM's inference stage HOT 1
- 为什么eval代码要用到label?
- The code has been reproduced, but the results are inconsistent with the provided model.
- About Score class
- About Score class
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