Hi, I attempt to use your SSL strategy to my own DA framework, but my performance seriously decreased (from the initial 44.3% to 41.5%).
My DA framework is similar to AdasegNet, and I use your SSL.py to generate the pseudo labels.
My loss is :
L = L_sourceseg + \lamdaL_da (1)
L = L_sourceseg + \lamda1L_da +\lamda2*L_ssl (2)
First, I use (1) to train my network, and the best mIoU is 44.3%. Then, I use the best model to generate pseudo labels (use SSL.py). Finally, I use the pseudo labels to train the Eq(2). But the result is decreased.
Could you give me some suggestion on how to use the pseudo labels?
Hi, I attempt to use your SSL strategy to my own DA framework, but my performance seriously decreased (from the initial 44.3% to 41.5%).
My DA framework is similar to AdasegNet, and I use your SSL.py to generate the pseudo labels. My loss is : L = L_sourceseg + \lamdaL_da (1) L = L_sourceseg + \lamda1L_da +\lamda2*L_ssl (2) First, I use (1) to train my network, and the best mIoU is 44.3%. Then, I use the best model to generate pseudo labels (use SSL.py). Finally, I use the pseudo labels to train the Eq(2). But the result is decreased.
Could you give me some suggestion on how to use the pseudo labels?