Hi @ptrblck. Thanks for your reply. I’m getting a result approaching 70% mIoU with the resnet50-deeplab (from scratch) but it’s not an improvement over a simple unet model (also from scratch), which I’m searching for. Do you mean if I train on a tiny subset initially it can help boost performance? I’ll try to alter the auxiliary loss weight down and see if that helps.
Something I’ve noticed is that my validation loss (cross entropy) will decrease with training and then predictably increase after X epochs; but my mIoU on the validation set continues to rise, which seems contradictory. Do you know why this might be?