Comments (2)
And could you release/explain the code for updating CAC between stages? In the released code, there exists a moving-average implementation. Which one did you use?
CAG_UDA/models/adaptation_model.py
Line 529 in b6fbea6
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Hi there,
Thanks for your suggestion.
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The batch size was set to 1 when I trained the model. Then in my re-implementation, I set it to 4 for a quick convergence. Both settings would be fine for the final performance. Plz note that you have to increase the crop size if you choose to use 1 as the batch size.
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\ 3. Very thank you for what you have pointed out. I will check it out.
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I have uploaded the CAC code (cac.py) and modified the instructions.
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Related Issues (14)
- Hi! When dou you release the code? HOT 2
- Inconsistent results in Table 3 (SYNTHIA->Cityscapes) HOT 2
- Warm up HOT 3
- about category anchors
- about 'category_anchor'
- Warmup for deeplabv3plus
- Some typos in the final version of the paper
- What is feature transformation net? HOT 4
- GTA5/split.mat HOT 2
- Is the model DeepLab v3+ ? HOT 5
- warm-up strategy
- Training with custom datast HOT 1
- pretrain or warm-up method
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