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LetheSec
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Fer2013-Facial-Emotion-Recognition-Pytorch
This method achieves SOTA single model accuracy of 73.70 % on FER2013 without using extra training data.
MIT License
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Question about other model
#9
VietPT3502
closed
1 year ago
1
训练集与验证集ACC与LOSS异常
#8
ZifengLiu98
opened
1 year ago
1
train acc 比 test acc 低20% 是为什么呢?
#7
xioapangzi
closed
1 year ago
2
How to use the pretrained model to analyse emotions in Web camera?
#6
Sarah-em
opened
2 years ago
0
您好,关于网络集成的疑惑
#5
thgpddl
opened
2 years ago
0
Update evaluate.py
#4
thgpddl
closed
1 year ago
0
作者您好,如何能达到73.7%的test精度
#3
thgpddl
opened
2 years ago
8
mixup_data
#2
jiantenggei
closed
2 years ago
2
预测脚本
#1
Nieznajy
closed
2 years ago
1