microsoft / MaskFlownet

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Home Page:https://arxiv.org/abs/2003.10955

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Details about fine-tune in the Flyingthings3D

CXMANDTXW opened this issue · comments

Can you tell me the number of training iterations for finetune on flyings3d after pre training on flyingchairs? Would you like to use s-fine to train 0.5m iterations after flyingchairs 1.2m iterations, or restart using long + sfine for a total of 1.7m iterations?

Hi,

Please see ./network/config/MaskFlownet_ft.yaml.

Thank you for your reply.I have checked this document.
In addition, I would like to ask if the file size you uploaded to MPI Sintel benchmark is the original size (436x1024)?
I found if we use the baseline model like PWC-Net, when we downsample several times, 436 will be wrong.I always use crop size(384, 1024) to test PWC-Net.

I really hope to get your help.

Best wishes

We uploaded the prediction to MPI Sintel benchmark in its original size of course.

When doing inference, the size image are resize/crop to, for example, (448, 1024), since we can downsample (/2) and upsample (x2) it then.