Comments (1)
What do you mean by WSSS job? I am not sure why there is the difference in performance, it is most possibly due several reasons including small changes in caffe compared to pytorch, and some implementation details not mentioned in the paper.
If performance is an issue for you, you can consider using deeplab v3+. This repository has an older version(deeplab v2).
from pytorch-deeplab-resnet.
Related Issues (20)
- Why is loss for multiple scales calculated in a strange way? HOT 2
- Arbitrary batch size still unimplemented?
- Training produces model generating blank segmentations HOT 6
- How do get car mask only? HOT 1
- how does iter_size work? HOT 1
- spatial sizes mismatch HOT 1
- the result? HOT 4
- Why change the image channel order after `cv2.imread`
- No Relu in the ClassifierModule HOT 1
- Frozen the statistics of BN? HOT 5
- The size of the prediction HOT 2
- Bad mIOU tested with provided model HOT 8
- problem of train.py HOT 1
- ASPP or LargeFOV? Should be 76.35%.
- docopt HOT 2
- network stucture issue
- read the ground truth of the pascal voc dataset
- where is the crfs implementation? HOT 1
- About image preprocessing HOT 2
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from pytorch-deeplab-resnet.