Hello,
I have a question about how the model handles the sky during the training process.
In Depth Anything v2, the model predicts disparity. It uses a segmentation model to mark the sky and sets its ground truth (GT) disparity to zero.
Since this new work predicts affine-invariant depth instead of disparity, I was wondering how you handle the sky. Specifically:
- Do you set a specific ground truth value for the sky, such as zero or a maximum depth value?
- Do you still use a segmentation model, like SegFormer, to identify the sky?
Thank you for your time and clarification!
Hello,
I have a question about how the model handles the sky during the training process.
In Depth Anything v2, the model predicts disparity. It uses a segmentation model to mark the sky and sets its ground truth (GT) disparity to zero.
Since this new work predicts affine-invariant depth instead of disparity, I was wondering how you handle the sky. Specifically:
Thank you for your time and clarification!