Peng Zheng

Hi, sorry for that. There are indeed still some bugs in using ConvNets, I'll try to spare time to fix them. You can first try the vision transformer backbones.

MVANet is an interesting and good work, of which the results in their paper are even greater than ours on DIS5K. Compared with it, BiRefNet: 1. has a simpler architecture:...

BTW, have you run the code of MVANet?

You are welcome:) Looking forward to your results of MVANet. I also did the re-training of if but want to know the results reproduced by you.

Hi @wang21jun , got any results?

Thx, that's a long process. Looking forward to hearing the results of retrained BiRefNet from you, too!

Glad to see your results! Did you run `python gen_best_ep.py` to select the best ckpt? The default setting is for training on 8\*A100-80G, especially the learning rate (half it for...

Sure.

Wow, that's great! Even kind of better than my training on A100-80G x8. There seems to be still some space for improvement by adapting the hyper-parameters. Thanks!

Thanks for your updates! I've also spared time and GPUs to train BiRefNet with almost all quantity levels of backbones. The results and weights have been uploaded to the google...