Comments (3)
And are they based on DeepLabv3+ and Xception-65, instead of ResNet-50/101?
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Hi @LiheYoung , the results are shown as follows:
supervised: 42.24, 37.8, 33.6, 27.96, 22.94
ours: 43.64, 41.75, 39.11, 37.11, 29.78
The results are based on DeepLabv3+ w/ Xception-65. Hope this helps.
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Wow, thanks very much!
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Related Issues (14)
- Influence of the color jittering parameters HOT 2
- About the device HOT 3
- About the results showed in talbe 1 HOT 6
- If I want to use your method on custom datasets including image level labels, how can I generate the tfrecord file with image level labels? HOT 1
- Security Policy violation Binary Artifacts HOT 127
- More data splits information - Cityscape
- Concern on the details of the comparison results in Table-2 HOT 4
- More data splits information HOT 3
- Question about Tab.5 which compares different pseudo labeling strategies HOT 6
- tfrecord file? HOT 1
- Segmentation fault HOT 17
- data split name 2_clean not recognized
- class problem of the addational data training HOT 1
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