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Details about the traning
See original GitHub issueNice job. I am trying to reproduce your work with mmdetection and before it could you help me to confirm some details?
- The input scale of the training images. Does line https://github.com/facebookresearch/unbiased-teacher/blob/6977c6f77c812fae4064dc1b3865658c2ed247b1/configs/Base-RCNN-FPN.yaml#L41 indicate the size of the input image is selected from those scales randomly?
- The total batch size for training. The batch size is 32 labeled images + 32 unlabeled images. And For each iteration, 96 images( 32 strong augmented labeled images + 32 weakly augmented labeled images + 32 strong augmented unlabeled images) are used for supervision, right?
Issue Analytics
- State:
- Created 2 years ago
- Comments:6 (3 by maintainers)
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Yes. We have tried to apply the weight to all samples but the improvement is marginal compared to only apply to the background part.
Got it. Did you try to apply the teacher’s predicted weight to foreground samples before?