Comments (2)
Good question. Our model using VGG16 is trained from scratch.
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Thank you for your reply, and I want to know something about the dataset Foggy Cityscapes. I want to know which level weather you use when training, or all three types of weather are used for training. As a newcomer to this field, I am confused about this problem. I noticed that some papers only use foggy weather with level=0.02 for evaluation, for example, in Table 1 in PT (ICML-22, [1]).
[1]Chen M, Chen W, Yang S, et al. Learning Domain Adaptive Object Detection with Probabilistic Teacher[C]//International Conference on Machine Learning. PMLR, 2022: 3040-3055.
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Related Issues (20)
- Memory Leak HOT 1
- Why 2 seperate annotation files? HOT 4
- Very low performance during evaluation
- how to change backbone to resnet HOT 1
- resnet backbone dont converge HOT 1
- Error while loading pretrained model weights from `detectron2://ImageNetPretrained/MSRA/R-101.pkl` for training with custom dataset
- question about selecting best model (validation or post last step?) HOT 1
- what is crop ratio? HOT 1
- How to open the output file HOT 1
- How to train with the coco format datasets? HOT 1
- TypeError: register_buffer() takes 3 positional arguments but 4 were given HOT 3
- The Beta parameter of Foggy Cityscapes HOT 1
- FloatingPointError: Predicted boxes or scores contain Inf/NaN HOT 9
- backbone modification HOT 1
- How to get the AP of each label? HOT 2
- How
- How to visualize the predicted results on pictures using the pretrained model?
- How to train a SourceOnly model or Oracle model? HOT 2
- How to conduct ablation experiments, set the corresponding Loss to 0, or remove the corresponding module from the model? HOT 2
- Save teacher weight HOT 1
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