About the params of RTFNet

[J-JunChen]

Hello, Mr. Sun.

Thanks for your job. I would like to know some details about your two work of RGB-T Semantic Segmentaiton.

About the params and FPS. I have a question about your RTFNet and FuseSeg. According to TABLE IX of your FuseSeg, FuseSeg-161 has 1.5 times params fewer than RTFNet-101, but why FuseSeg-161 slower than RTFNet-101? Is there more FLOPs in FuseSeg-161 than RTFNet-101?

Thanks for your work again.

[wylbd]

Thank you for your letter. i will reply your letter as soon as I can! best wishes! yours sincerelyYulun Wu?xml:namespace> Department of Mechanical Engineering,Zhejiang University

[J-JunChen]

Have you do the experiements on RTX 2080 Ti?

[wylbd]

Thank you for your letter. i will reply your letter as soon as I can! best wishes! yours sincerelyYulun Wu?xml:namespace> Department of Mechanical Engineering,Zhejiang University

[yuewenzheng]

Hello, Mr. Sun.

First, I am sincerely admire and thanks for your excellent job. But I would like to know some details about your two work of RGB-T Semantic Segmentaiton.

About the prediction time and FPS, According to TABLE VII of your GTX1080Ti-Method(RTFNet-50) data, the time costed is 11.25ms, but I run your run_demo.py in my nvidia-RTX3060, the time needed 22ms average, of course the parameters you mentioned in "read me" I have serious read and modified the corresponding parameter to RTFNet_50, So I am confused and wonder if my operation with something wrong?
Thanks for your work again.

[J-JunChen]

Got it.

[wylbd]

Thank you for your letter. i will reply your letter as soon as I can! best wishes! yours sincerelyYulun Wu?xml:namespace> Department of Mechanical Engineering,Zhejiang University

[yuewenzheng]

Got it.

Hello bro, if you have similiar questions with me?