Open gengshi opened 4 years ago
because I don't see any model in the repo is the same as described on the CVPR paper, hope for reply, thanks!
Hi, Can you please provide the exact models used for the CVPR paper results? It would really help if you could provide the path to your pre-trained models too.
we see that there is a SE block on CVPR2019 at Figure 2, but not seen at the figure of this repo as well as 'resnetDLAS_A' on resnet_caffe_DLAS.py. I wonder if the performance shown at paper Table 3 of line:
"A. resnet-34 with MLFA | CASIA-Web face [25] | attack 3-fold | 99.87" including SE block, or, in other words, which architecture from the code is 'resnet-34 with MLFA ', is that 'resnetDLAS_A' ?