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prstrive avatar prstrive commented on June 16, 2024

Q1. As we declared in our paper, the 1st baseline in Table 3 (Baseline(Reg)) is CasMVSNet in our implementation. It's well known that the quantitative metrics (acc., comp., overall) is heavily related to the fusion parameters, and we set the fusion parameters of all models in Table 3 to be the same (0.3 for confidence threshold and 3 for consistent view, same as RMVSNet), which is slightly different from the original CasMVSNet paper and get superior performance in overall metric.

Q2. It's indeed a thorny problem. We mitigate the drawback of these cases through our proposed unified focal loss to make the model pay more attention to these outliers. And we don't have statistical model performance at these outliers, but overall it's unimpeded.

from unimvsnet.

xy-guo avatar xy-guo commented on June 16, 2024

Thank you for reply.

from unimvsnet.

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