Zhongkai Zhou
Zhongkai Zhou
I think the difference above can be listed as follows: 1.you should take care of the choices of validation set,see https://github.com/lmb-freiburg/flownet2/issues?utf8=%E2%9C%93&q=320 2.data augmentations used in the code have a little...
Did you replicate the results successfully?
pwc-net
Thank you so much!
PWC-Net uses caffe to do data augmentation as Flownet do. So, i refer to the Flownet paper https://lmb.informatik.uni-freiburg.de/Publications/2015/DFIB15/flownet.pdf.  Flownet doesn't use horizontal flip and vertically flip. To inspect data...
Sorry, i have not reproduced the results on MPI-Sintel test set successfully. I think MPI-Sintel train and MPI-Sintel test are very different, so low epe on train may not lead...
My network will converge fast on FlyingChairs when I remove the data augmentation.
@xianshunw Sorry for my late reply, It is a great pleasure for me to join in your group. So, how can i take part in it?
I modified the antipad() in utils.py to suit the deconv
No，different images are required for different antipad(),I write three kind of antipad() to suit Sintel,KITTI and Middlebury