68-Retinaface-Pytorch-version
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The landmark loss reduces slowly.
Hello, ElvishElvis. Thank you for your great work! I change the backbone to mobilenet_v3 and regnet, and use the LS3D-W dataset as my training dataset. But the landmark branch loss reduces slowly (using smoothL1 Loss), for example, 1.79 -> 1.77 after 20 epochs, while the other losses reduces normally. So, have you met this problem? And could you share your training strategy if possible?