Oli:

What kind of network are you using?


Im using a semantic segmentation network, which is also incorporating the motion state to differentiate between moving and static cars.



 Oli:

How big is your validation dataset?


I used the cityscapes motion dataset [deepmotion 1], which provides 2975 training images and 500 validation images. Because I train only small images, I splitted the images in 3 overlapping frames, to get 3 times the amount of training images.



 Oli:

Does the network behave differently in train() and valid() mode?


Yes the network behave totally different in  train() and valid() mode. Is there a reason for it ? I used some dropout layers.