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As mentioned in the paper, a lightweight U-Net is leveraged to post-processes the output image to generate some heatmaps (for keypoint detection) or masks (for segmentation). Which specific model did you use? How did you train the U-Net? It would be helpful if you could provide more details about this.
Thank you.
The text was updated successfully, but these errors were encountered:
Extracting keypoints or masks from the images generated by our editor is a simple mapping process, so the UNet will have minimal impact on performance.
Hi, very interesting work!
As mentioned in the paper, a lightweight U-Net is leveraged to post-processes the output image to generate some heatmaps (for keypoint detection) or masks (for segmentation). Which specific model did you use? How did you train the U-Net? It would be helpful if you could provide more details about this.
Thank you.
The text was updated successfully, but these errors were encountered: