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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Pretrained weights on the kitti dataset for Adv attacks

jytime opened this issue · comments

Hi authors,

I am trying to evaluate the optical flow networks' performance against attacks. I was wondering if the MaskFlownet model pretrained on the kitti dataset can be available?

Best Regards

Hi, thanks for your interest!

Yes, of course, but it takes some time to rename the weight prefixes and I am having midterm right now. I will try to make it available this weekends.

Hi Simon,

May I ask how is it going with the renaming process?

Hope all the best.

Hi, I am sorry that I was quite busy with the school things recently.

We have only done validation on the KITTI dataset for the MaskFlownet-S. I am wondering if that will be what you are looking for.

Hi Simon,

Thanks for your quick reply. I just commented to check if the model is available. It would be great if the reported MaskFlownet model can be released.

Good luck with your school things.

Hi Jianyuan,

I am not sure what do you mean by the reported MaskFlownet model. Anyway, I have just uploaded a pretrained weights for MaskFlownet, called 8caNov12-1532, which has been fine-tuned on the whole KITTI dataset.

Please run something like python main.py MaskFlownet.yaml -g 0 -c 8caNov12 --valid --resize 576,1280 to do validation on it with inference resize (576, 1280).

Thanks a lot, Simon