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performance for moving objects #4

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waveleaf27 opened this issue Oct 31, 2023 · 3 comments
Open

performance for moving objects #4

waveleaf27 opened this issue Oct 31, 2023 · 3 comments

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@waveleaf27
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I re-ran this project, but the performance for moving objects didn't meet expectations. Please refer to the attached figure for reference.

In the figure: (segment-10335539493577748957_1372_870_1392_870_with_camera_labels/0000_0001.npz)
image

Black represents points at time T.
Blue indicates points at time T+1.
Red denotes points from time T after adding the predicted flow.
As evident, the objects within the bounding box are misaligned. I've observed this issue in multiple case. Is this discrepancy expected?

@Lilac-Lee

@waveleaf27
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Can you provide your NSFP++ baseline since it adopt extra assumption

@Lilac-Lee
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Hi @waveleaf27, this might happen when the grid cell size is relatively large, making the prediction prone to similar motions nearby.
Please refer to MBNSF for the implementation of NSFP++ baseline.
Cheers.

@Kin-Zhang
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Kin-Zhang commented Jul 27, 2024

I also observed the moving object prediction in FastNSF is not better than NSFP in AV2 too. But in general, it's not bad.


Btw, I want to ask about grid cell size is that equal to grid_factor in the code? Is 10 default mean 0.1-meter grid size?

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3 participants