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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)
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?
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.
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)
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
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