Comments (3)
Hi @Alex-dong , you can train the model and test it on unseen images. The model will give you segmentation results. By overlaying the segmentation prediction with original images you can get figures like Figure 3/4.
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OK
Thanks for your reply, I will try.
Best wishes ~
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Hi @alex-marked, have you successfully obtained the qualitative results on unseen images? How did you implement it? Thank you
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Related Issues (20)
- Pascal VOC 2012 images HOT 2
- 'SBD' folder -sbd_instance_process.py HOT 4
- Lower Accuracy With ResNet BackBone HOT 2
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- Cuda out of memory error HOT 2
- Dataset source HOT 4
- Hardware information HOT 2
- Regarding the Data Splits HOT 2
- Question about datasets. HOT 2
- How do I run the N-way experiments? HOT 1
- Performance of Resnet50 HOT 2
- **_config in train.py optimizer definition HOT 4
- How can I train it on my data? HOT 2
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- Question about "scribble" HOT 2
- Why can I only reach 42% in voc2012 miou
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- Why does increasing shot in Few Shot Learning not improve the accuracy? HOT 1
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