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I have a question, Would you mind sharing what decoder or upsampling method you are using in semantic segmentation, after setting the IBN nets as the backbone?
Or could you share more about the implementation details on this? (finetuning in cityscapes and cross domain Experiments) As you didn't mention much in the paper
The text was updated successfully, but these errors were encountered:
For semantic segmentation, our pipeline is similar to PSPNet without Pyramid Pooling Module.
There is no decoder, the output of the backbone is upsampled by 8 times using bilinear interpolation.
Our code is modified from this repo https://github.com/meetshah1995/pytorch-semseg
@erichhhhho
Hi, have you reproduced the segmentation part?
I am also interested in this segmentation implementation. @XingangPan
Thanks for the released wonderful work. Will the segmentation models be released in the future?
Hi, Nice work!
I have a question, Would you mind sharing what decoder or upsampling method you are using in semantic segmentation, after setting the IBN nets as the backbone?
Or could you share more about the implementation details on this? (finetuning in cityscapes and cross domain Experiments) As you didn't mention much in the paper
The text was updated successfully, but these errors were encountered: