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I am writing to you today with a question regarding your impressive paper, "VA-DepthNet: A Variational Approach to Single Image Depth Prediction." I am particularly interested in Table 4, which presents the results on the SUN-RGB-D test set when the model is trained only on the NYU V2 training dataset.
While reading your paper, I noticed that the reported metrics for the SUN-RGB-D test set in Table 4 differ from those presented in other related works, such as the AdaBins paper by Bhat et al. (2021) and the DDP paper by Yuanfeng Ji et al. (2023). I am wondering if there might be an explanation for these discrepancies or if I have perhaps missed some important detail in my understanding.
Metrics written on VA-depthnet: Metrics written on Adabins: Metrics written on DDP:
I would be very grateful if you could clarify this point for me. I am eager to learn more about your work and its impressive methodology.
Thank you for your time and consideration.
The text was updated successfully, but these errors were encountered:
Yes, the evaluation metrics on SUN-RBGD are different.
Please note we have mentioned in the paper, "In addition, we align the predictions from all the models with the ground truth by a scale and shift following Ranftl et al. (2020)."
I am writing to you today with a question regarding your impressive paper, "VA-DepthNet: A Variational Approach to Single Image Depth Prediction." I am particularly interested in Table 4, which presents the results on the SUN-RGB-D test set when the model is trained only on the NYU V2 training dataset.
While reading your paper, I noticed that the reported metrics for the SUN-RGB-D test set in Table 4 differ from those presented in other related works, such as the AdaBins paper by Bhat et al. (2021) and the DDP paper by Yuanfeng Ji et al. (2023). I am wondering if there might be an explanation for these discrepancies or if I have perhaps missed some important detail in my understanding.
Metrics written on VA-depthnet:
Metrics written on Adabins:
Metrics written on DDP:
I would be very grateful if you could clarify this point for me. I am eager to learn more about your work and its impressive methodology.
Thank you for your time and consideration.
The text was updated successfully, but these errors were encountered: