A question about the details of network training about duck-net HOT 6 CLOSED

Ok, thanks for the reply! :)

from duck-net.

Hey, thanks for your feedback!

We trained and tested the network on each data set independently, besides the generalization studies where we trained on one data set and tested on another.

I hope that clarifies the issue.

from duck-net.

hi, in the paper I see "Segmentation accuracy (Dice coefcient, Jaccard index, Accuracy, Recall and Precision) on the
Kvasir-SEG dataset, the models being trained on the CVC-ClinicDB dataset. Best model results are in bold."

This is different from the one in the ParaNet paper, have you tried that kind of data?

from duck-net.

Hey, can you please provide a link to the paper you're reffering to and the pages where the experiment/data you're reffering to is described?

from duck-net.

https://paperswithcode.com/paper/pranet-parallel-reverse-attention-network-for

from duck-net.

We did not try the kind of generalization testing techniques presented in the PraNet paper (by combining certain datasets), we only did 3 kinds of tests:

• Training and testing the algorithm on each dataset individually
• Training the algorithm on the Kvasir-SEG dataset and testing it on the CVC-ClinicDB dataset (testing for generalization capabilities)
• Training the algorithm on the CVC-ClinicDB dataset and testing it on the Kvasir-SEG dataset (testing for generalization capabilities)

from duck-net.