fyangneil
commented
5 years ago We did not use MIoU as a measurement to evaluate the methods. When you use FCN, what is the output? The output layer is 'softmax' or 'sigmoid' ? In our implementation, the output of FCN is 'sigmoid'. When you compute the MIoU, did you take the background into account? In our case, the background should not be considered. In addition, instead of using MIoU, we use AIU (average intersection over union) as a metric to evaluate the compared methods. For the specific definition of AIU, you are referred to the paper.
watchmexiang
fightingchun
Hello, I used the original FCN to experiment on your dataset and found that the results obtained by FCN are better than the results of your model under the MIOU indicator. After reading your article, I found that you used The indicator is the indicator of edge detection. You have come to the conclusion that your model is better than FCN. Have you compared the test results of the two models under the MIOU indicator? Thank you.