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When I use the given ResNet 38-A1 model pretrained on cityscapes and do single scale testing, I get the mIOU 78.08% at val dataset.
As shown in the github page of ResNet 38, multiscale testing will boost the mIOU by about 1%. However, when I do multi-scale testing, (scales: 0.75, 0.875, 1) I get the mIOU 77.06%, that is lower than single scale testing. Could anyone tell me the scale rates for boosting the performance dramatically?
The text was updated successfully, but these errors were encountered:
When I use the given ResNet 38-A1 model pretrained on cityscapes and do single scale testing, I get the mIOU 78.08% at val dataset.
As shown in the github page of ResNet 38, multiscale testing will boost the mIOU by about 1%. However, when I do multi-scale testing, (scales: 0.75, 0.875, 1) I get the mIOU 77.06%, that is lower than single scale testing. Could anyone tell me the scale rates for boosting the performance dramatically?
The text was updated successfully, but these errors were encountered: