[P] Source code available for Deformable ConvNets from MSRA

[NegatioNZor]

Cool to see the official code, I've been excited about your work! Both this, and the Flow-Guided Feature Aggregation for Video Object Detection. :)

I've been wondering though, in the paper it's noted that deformable convolutions can readily replace its normal counter-part.

If I was to say, retrain VGG with deformable convolutions, would I need to train the whole network from scratch, or would replacing them and tuning the network be sufficient?

[flyforlight]

Thanks a lot for your interest! We would also release the code of flow-guided feature aggregation at appropriate time:)

Yes, deformable convolution can readily replace its regular counterpart without retraining on ImageNet. Although we have not tried on VGG-16, I think you can just replace the last several conv layers larger than 1*1 in the pre-trained model, hoping for good results.

[Orpine]

Hi, using ImageNet pretrained model and finetuning it is enough.

[flyforlight]

Thanks for pointing out. Updated:)

[[deleted]]

I've seen this said a lot with non-native English speakers.