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Your work is novel. Thank you for your great work!
I am confused by the quantitative results in Table 1, they seem to be much better than the results in the original paper. How are these results obtained?
I am very much looking forward to your reply.
Thanks again for your work.
The text was updated successfully, but these errors were encountered:
Your work is novel. Thank you for your great work! I am confused by the quantitative results in Table 1, they seem to be much better than the results in the original paper. How are these results obtained? I am very much looking forward to your reply. Thanks again for your work.
SRD Dataset set the paths of the shadow removal result and the dataset in demo_srd_release.m and then run it.
Get the following Table 1 in the main paper on the SRD (size: 256x256).
Your work is novel. Thank you for your great work! I am confused by the quantitative results in Table 1, they seem to be much better than the results in the original paper. How are these results obtained? I am very much looking forward to your reply. Thanks again for your work.
In their original papers, the image resolution they use is the original image size.
Since I used RTX 2080 Ti to train the model with 256x256 image resolution, all the baseline results are resized to 256x256 for a fair comparison.
Your work is novel. Thank you for your great work!
I am confused by the quantitative results in Table 1, they seem to be much better than the results in the original paper. How are these results obtained?
I am very much looking forward to your reply.
Thanks again for your work.
The text was updated successfully, but these errors were encountered: