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scaelles avatar scaelles commented on July 17, 2024

The boundary snapping gives a boost of around 2.5% on the IoU metric as shown in the paper. Therefore, it is a refinement of the appearance model (the one that this code reproduces) and not the core of the algorithm. The boundary snapping is implemented in Matlab and implementing it in python would require quite a lot of time so we are not planning to do it. If you would like to use it, you can try the caffe version.

In the paper we also tried another refinement using the Fast Bilateral Solver which also gives a nice (but smaller than boundary snapping) improvement and there is code available in python. Thus, I would recommend you to give it a try.

from osvos-pytorch.

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