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Thanks for sharing your works. i use a quick evaluation as your code on fold 2. the meanIoU is only 48.7% (51.3% in article) and multi-scale cannot improve the preformance either. Is there any detail i have missed?
code is the same with that in train.py
The text was updated successfully, but these errors were encountered:
Thanks for sharing your works. i use a quick evaluation as your code on fold 2. the meanIoU is only 48.7% (51.3% in article) and multi-scale cannot improve the preformance either. Is there any detail i have missed? code is the same with that in train.py
Hi, i also face the same training problem, did you solve this problem?
Thanks for sharing your works. i use a quick evaluation as your code on fold 2. the meanIoU is only 48.7% (51.3% in article) and multi-scale cannot improve the preformance either. Is there any detail i have missed?
code is the same with that in train.py
The text was updated successfully, but these errors were encountered: