Probabilistic-Face-Embeddings
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seasonSH
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
I trained on my own dataset, the reg loss is rising , and loss is a negative number. Why does this happen？
@seasonSH Since CASIA dataset is difficult to get, can you provide your pretrained models for performance evaluation? Thanks Kaishi
Hi , I try to run the PFE model. It works well when I run eval_lfw with tensorflow 2.1 and tensorflow 1.x but when I tried to run it with...
this is my PFE-Pytorch-version[https://github.com/Ontheway361/pfe-pytorch], but it is something amazing that there is neg mls-loss during the training...
can you please tell how to compare two face images after crop and image pre-processing(112x96). Which comparison function should we use and what should be the threshold for the same?
thanks for your great work on PFE. when I tried to test IJB-A dataset, some issues occured. I download IJB-A from two different sources: 1. https://drive.google.com/uc?export=download&confirm=TCkR&id=11p1eVSpyHZQUG0uBGyRoFnOXXTuZ501c 2. https://drive.google.com/uc?export=download&confirm=APsr&id=1WdQ62XJuvw0_K4MUP5nXOhv2RsEBVB1f however, none...
#!/usr/bin/env python3 #-*- coding:utf-8 -*- """ Created on 2020/04/23 author: lujie """ import torch import torch.nn as nn import torch.nn.functional as F from IPython import embed class MLSLoss(nn.Module): def __init__(self,...
#!/usr/bin/env python3 #-*- coding:utf-8 -*- """ Created on 2020/04/23 author: lujie """ import torch import torch.nn as nn import torch.nn.functional as F from torch.nn import Parameter from IPython import embed...
