yuxiangsun / RTFNet

RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
MIT License
166 stars 39 forks source link

Results of NTE and NRE #12

Closed xingchenzhang closed 3 years ago

xingchenzhang commented 3 years ago

Hi,

Thank you very much for your nice work!

I have a question about the result of NTE and NRE shown in Table IV of the paper.

When you test NTE and NRE, did you retrain the model? Or simple remove RGB encoder or thermal encoder from RTFNet model?

I have tried to remove the RGB encoder to have NTE, and remove the thermal encoder to obtain NRE. But in my case, the macc of NTE at daytime is only 27.3, and the macc of NTE at nighttime is only 16.1. The macc of NRE at daytime is only 11.1, and the macc of NRE at nighttime is only 11.1.

Therefore, I am wondering how you guys produced the results in Table IV. Could you please give some explanations?

Bests, Xingchen