Comments (7)
In progress
from pspnet-pytorch.
any updates?
from pspnet-pytorch.
I have the same question, without large effective batch size (for batch normalization) like over 32, it is hard to reproduce the results in the original paper, and pytorch is not good at synchronizing different gpus
from pspnet-pytorch.
It seems that the pyramid pooling module cannot really help improve the performance for me.
from pspnet-pytorch.
@Lextal Do you have codes for trying on cityscapes dataset?
from pspnet-pytorch.
any updates about the preformance?
from pspnet-pytorch.
Any updates?
from pspnet-pytorch.
Related Issues (20)
- About the result
- About input size
- About PASCAL VOC dataset input size
- How to write dataloader? Can someone give the code?
- Size mismatch
- What is the class_weights int train.py
- what's the meaning of psp_size and deep_features_size ?
- working code HOT 6
- PSPModule not working, code doesn't run. HOT 1
- Is y_cls a non one-hot format?
- What is the difference between y and y_cls? HOT 4
- Missing License
- how to use pretrained models? HOT 7
- Initial image size HOT 5
- DPN as feature extractor HOT 1
- Reading dataset HOT 3
- dropout
- KeyError: 'module name can\'t contain "."' HOT 3
- what's y_cls & y_cls[i,T]? HOT 6
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from pspnet-pytorch.