Segmentation algorithm not giving correct output
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Hi ,
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.
回答（1 个）
Birju Patel
2022-9-8
0 个投票
Generally, FCN, U-Net, and SegNet are different architectures that require their own set of training options to produce optimal results. You cannot assume they will all converge to the same results.
For instance, U-Net does not use a pre-trained backbone so it can take longer to train compared to FCN, which uses a VGG-16 image net pretrained backbone.
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