Comments (3)
I am not sure and I will check the record later. Did you get the correct cross-domain generalization accuracy for the pre-training model?
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I am not sure and I will check the record later. Did you get the correct cross-domain generalization accuracy for the pre-training model?
ok,I will check the cross-domain generalization accuracy soon.
from cfnet.
I am not sure and I will check the record later. Did you get the correct cross-domain generalization accuracy for the pre-training model?
OK, I just checked that there is no problem in cross-domain accuracy, so it seems that the accuracy of scene flow is indeed 0.97
from cfnet.
Related Issues (20)
- Gamma, Beta in the model weight HOT 6
- Data Augmentation
- Some errors in the code HOT 1
- Evaluation on Middlebury dataset HOT 1
- about the performance on middlebury dataset. HOT 1
- preprocess for predicting Custom dataset HOT 2
- how to obtain the same performance as the given pretrained model HOT 10
- How to inference with data? HOT 4
- Problem about pretrained models HOT 1
- About the three stage strategy HOT 2
- Error when robust_test
- About the KITTI2015 submission HOT 1
- Disparity distribution
- Problem to export model from PyTorch to TensorFlow
- RuntimeError: Legacy autograd function with non-static forward method is deprecated
- model training HOT 1
- inference is wrong
- Middlebury 数据集求指教 HOT 1
- 前辈,用您提供的微调后的模型,得到的视差图非常模糊,可能是什么原因呢? HOT 7
- 作者您好,谢谢你做的工作,我想请问一下为什么只在第二轮训练时使用mish激活函数,第一轮为什么还是relu呢? HOT 3
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