Comments (1)
- train amr, make cam, eval cam;
- cam_to_ir_label, train_irn;
- make_sem_seg, eval_sem_seg;
- train deeplabv2 with sem_seg pseudo labels;
from amr.
Related Issues (16)
- segmentation code HOT 2
- forward() got an unexpected keyword argument 'step' HOT 5
- It seems this implementation is the combination of CBAM and Anti-adv without much insight????? HOT 1
- Why do u apply anti-adv method to generate initial cam seeds, I reproduce your implementation and find that your real initial cam seeds are worse than baseline without anti-adv method? Can u explain this? HOT 3
- long running time and low miou HOT 1
- There are no two .pth files,can you upload it? HOT 8
- why the code taste too much time in the make_cam.py? HOT 4
- I'm confused about some lines of code in the 'resnet50_amr.py' HOT 4
- The results are far below CAM 48.3% baseline. HOT 1
- how to get cam image? HOT 1
- Pre-trained model HOT 1
- Confusion about the code in net/resnet50_amr.py HOT 1
- ValueError: could not convert string '2007_000032' to int32 at row 0, column 1. HOT 2
- UserWarning HOT 1
- make cam too slow
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from amr.