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Segmentation algorithm not giving correct output

조회 수: 2 (최근 30일)
Shoaib Ali
Shoaib Ali 2022년 8월 4일
댓글: Shoaib Ali 2022년 9월 12일

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.

답변 (1개)

Birju Patel
Birju Patel 2022년 9월 8일
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.
  댓글 수: 1
Shoaib Ali
Shoaib Ali 2022년 9월 12일
Thank you for your answer.
You mean I have to train each network with diffferent hyperparameters to figure out the best values of parameters for each model?

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