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From my understanding, the two open source (HRNet-Semantic-Segmentation & openseg.pytorch) doesn't differ greatly.
So I applied SegFix to results generated from HRNet-Semantic-Segmentation. The original mIoU is like below.
Obviously, I assumed that the final mIoU after applying SegFix would increase. However, that's not the case. mIoU actually decreased to 80.29.
I applied SegFix the way described in MODEL_ZOO.md (below)
Is this the correct way to apply SegFix? Or is there any other way to apply SegFix?
The text was updated successfully, but these errors were encountered:
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From my understanding, the two open source (HRNet-Semantic-Segmentation & openseg.pytorch) doesn't differ greatly.
So I applied SegFix to results generated from HRNet-Semantic-Segmentation. The original mIoU is like below.
Obviously, I assumed that the final mIoU after applying SegFix would increase. However, that's not the case. mIoU actually decreased to 80.29.
I applied SegFix the way described in MODEL_ZOO.md (below)
Is this the correct way to apply SegFix? Or is there any other way to apply SegFix?
The text was updated successfully, but these errors were encountered: