面部表情识别 (FER)
面部表情识别(Facial Expression Recognition, FER)是计算机视觉领域的一项任务,旨在通过分析人脸特征如眉毛、眼睛、嘴巴等,自动实时地识别和分类人类的情感表达,将其映射到愤怒、恐惧、惊讶、悲伤和快乐等情绪类别。该技术在人机交互、情感计算和心理健康评估等领域具有重要应用价值。
AffectNet
ResEmoteNet
RAF-DB
DDAMFN
FER2013
ResEmoteNet
FER+
KTN
Acted Facial Expressions In The Wild (AFEW)
CK+
EmoNeXt
FERPlus
RAN (VGG-16)
JAFFE
TL
SFEW
Ada-DF
Aff-Wild2
EmoAffectNet LSTM
BP4D
DISFA
Norface
FERG
DeepEmotion
MMI
DeXpression
Oulu-CASIA
Dynamic MTL
Real-World Affective Faces
Static Facial Expressions in the Wild
Covariance Pooling
Ethereum Phishing Transaction Network
CAER
EfficientFace
ExpW
ResEmoteNet
Cohn-Kanade
Sequential forward selection
CREMA-D
RaFD
RAVDESS
SAVEE