search

thograce / BGNet

Boundary-Guided Camouflaged Object Detection
87 stars 17 forks source link

why use the gray image to train model #13

Open yyy809643573 opened 1 year ago

yyy809643573 commented 1 year ago

i see that the input channel of the pretrained model is the gray image，why selecting the gray image to train the model ，if using the rgb image to train model ，the performance of the model will be better？when train the stereo matching model ，which image should be used，the gray image or rgb image？ thank you

thograce commented 1 year ago

i see that the input channel of the pretrained model is the gray image，why selecting the gray image to train the model ，if using the rgb image to train model ，the performance of the model will be better？when train the stereo matching model ，which image should be used，the gray image or rgb image？ thank you

I can't understand your question. What is the pretrained model you mentioned? Res2Net?