Segmentation algorithm not giving correct output
I am evaluating segmentation models with my own data. Only FCN produces the right segmented output for test images, but other segmentation models (such as U-Net and SegNet) produced really odd results. The segmented pixels are dispersed throughout the whole image instead of the targeted region. Even if I evaluate my trained model using the training data.
What may be the reason behind that?
This is segmented output by SegNet.
This is segmented output by FCN.