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I have a question about the experiment on ConvCRF and CRFasRNN. In general, DenseCRF can increase MIoU by 3%, Which means that even without end-to-end jointly fine tuning, the CNN-DenseCRF system can achieve a better MIoU than the unary (CNN). But I notice that in this paper, MIoU of FCN-ResNet101-CRFasRNN is about 69, lower than the raw MIoU of its unary module FCN-ResNet101 (about 71).
What happends to DenseCRF that makes its accuracy declining so hard?
The text was updated successfully, but these errors were encountered:
Hello
ConvCRF is an amazing work.
I have a question about the experiment on ConvCRF and CRFasRNN. In general, DenseCRF can increase MIoU by 3%, Which means that even without end-to-end jointly fine tuning, the CNN-DenseCRF system can achieve a better MIoU than the unary (CNN). But I notice that in this paper, MIoU of FCN-ResNet101-CRFasRNN is about 69, lower than the raw MIoU of its unary module FCN-ResNet101 (about 71).
What happends to DenseCRF that makes its accuracy declining so hard?
The text was updated successfully, but these errors were encountered: