Possible reasons for different performance between DIM Re-implementation and original implementation

[VitoChien]

Thanks for your great work!
When I'm trying to reproduce the result of DIM(Deep Image Matting), I found that using vgg model without BN and setting batch-size to 1 will give the same or even better performance, comparing to the results reported by the original DIM paper.

So I think that fewer training data is not supposed to be the reason for different performance.

[poppinace]

Solved. See this response