Open srika91 opened 8 years ago
Have you ever solved your problem? I try to train Deeplab on SUNRGBD dataset but it has 38 classes and looks quite different from VOC12, finally result I got looks terrible. Have I need to do something with the labels, or change some parameters in the code? If you have any hint it will be very pleasure.
If we want to use deeplab for new dataset that is substantially different from the trained datasets,how do we go about the training this network?
My understanding: deeplab=DCNN(trainable) + CRF(not trainable-but can cross validate parameters)
So we train deeplab for the new dataset,ie training DCNN and then cross-validate the CRF parameters.Is this correct or is it possible to train deeplab end-to-end ,meaning training CRF also?