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Thanks a lot for your great work! I was curious about your experiments on depth estimation.
One thing I noticed on PlaneNet is that when they finetune on NYUv2 with the depth loss only, they get less and less regions detected as planar (only the layout).
I was wondering if you observe a similar phenomenon in your case, and if it explains the depth performance improvement.
Could you maybe share some snapshots of [non-planar mask, instance mask, depth maps], before and after fine-tuning with your loss in Equation 10.
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered:
Hi,
Thanks a lot for your great work! I was curious about your experiments on depth estimation.
One thing I noticed on PlaneNet is that when they finetune on NYUv2 with the depth loss only, they get less and less regions detected as planar (only the layout).
I was wondering if you observe a similar phenomenon in your case, and if it explains the depth performance improvement.
Could you maybe share some snapshots of [non-planar mask, instance mask, depth maps], before and after fine-tuning with your loss in Equation 10.
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered: