HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Facial Expression Recognition (FER)
Facial Expression Recognition On Ck
Facial Expression Recognition On Ck
Metrics
Accuracy (7 emotion)
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy (7 emotion)
Paper Title
PAtt-Lite
100.00
PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
ViT + SE
99.8
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
FAN
99.7
Frame attention networks for facial expression recognition in videos
Nonlinear eval on SL + SSL puzzling (B0)
98.23
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
DeepEmotion
98
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
FN2EN
-
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
EmoNeXt
-
A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease
0 of 7 row(s) selected.
Previous
Next
Facial Expression Recognition On Ck | SOTA | HyperAI