Comments (2)
simonmeister
commented on June 14, 2024
The two images are first geometrically distorted together as a standard way of reducing overfitting. However, we can also generate a larger variation in flow fields seen during training by applying a additional spatial transform to the second image, so that we see a larger range of displacements between images during training (the spatial transform can be seen as just another example of ïmage motion). I think this is described first in the original FlowNet paper.
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bryanyzhu
commented on June 14, 2024
Thanks a lot, I see it now.
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