Comments (6)
lorenmt
commented on June 15, 2024
Hello, 通常是 0.5 - 5 之间。 T = 2通常就 work 的还行。
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ykeivn
commented on June 15, 2024
比如我的模型第一个epoch计算得到的损失函数大小为2以下，选择过大的T值能work吗？我先跑一些值试试吧，有什么问题可能还得麻烦您，谢谢
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lorenmt
commented on June 15, 2024
T 越大 weighting 的波动是越小。loss 的结果大不大无所谓 只要都在一个 scale 就行，比如都是 pixel-based 的。
我目前在做一个工作效果比 DWA 强非常多，准备投 ICLR，即将开源你到时候也可以参考一下。
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ykeivn
commented on June 15, 2024
好嘞，这就关注大佬
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LMerCy
commented on June 15, 2024
@lorenmt Have you ever open source your ICLR work?
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lorenmt
commented on June 15, 2024
@lorenmt Have you ever open source your ICLR work?
All my works were open-souced. Which work you were talking about?
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Related Issues (20)
- depth and segmentation label in cityscape HOT 1
- NYUv2 surface normals grey boundary HOT 1
- Missing items in cityscapes/val/label_19 HOT 2
- Training with my own dataset HOT 16
- Definition of multi-task loss function HOT 5
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- How do you pre-process NYUv2 dataset？ HOT 7
- about the uncertainty loss HOT 4
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- why dwa didn't consider common scale of gradient? HOT 8
- 关于Attention Module的设计 HOT 4
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- DWA的loss梯度爆炸问题 HOT 2
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