Chair and Things dataset when fine-tuning on Sintel

[jytime]

Hi Gengshan,

You added the Chair, Things, Hd1k, and Kitti datasets to the Sintel dataset when fine-tuning. I guess this operation aims to improve generalization ability and avoid overfitting. I was wondering is this important for the Sintel benchmark result and training set performance?

Best Regards

[gengshan-y]

Yes, the reason of using multiple dataset is to improve generalization ability. You can refer to PWCNet+ for performance gain on Sintel by adding HD1K and KITTI.

I don't have a concrete number to show how much the model gains from Chairs and Things, but in my controlled experiments, it did slightly help on Sintel's validation set.

[jytime]

Thanks for your helpful suggestion.