HyperAI超神経
ホームニュース最新論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
検索
サイトについて
HyperAI超神経

Facial Expression Recognition On Fer2013

評価指標

Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Accuracy
Paper TitleRepository
Segmentation VGG-1975.97A novel facial emotion recognition model using segmentation VGG-19 architecture
Ensemble ResMaskingNet with 6 other CNNs76.82Facial Expression Recognition using Residual Masking Network
CNN Hyperparameter Optimisation72.16Convolutional Neural Network Hyperparameters optimization for Facial Emotion Recognition
ResEmoteNet79.79ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
Ad-Corre72.03Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild-
Mini-ResEmoteNet (B)70.20Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design-
Local Learning Deep+BOW75.42Local Learning with Deep and Handcrafted Features for Facial Expression Recognition-
LHC-Net74.42Local Multi-Head Channel Self-Attention for Facial Expression Recognition
EmoNeXt76.12EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Mini-ResEmoteNet (A)76.33Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design-
Regularized Xception with Step Decay Learning94.34Regularized Xception for facial expression recognition with extra training data and step decay learning rate
ResNet18 With Tricks73.70Fer2013 Recognition - ResNet18 With Tricks
Local Learning BOW67.48Challenges in Representation Learning: A report on three machine learning contests
VGGNet73.28Facial Emotion Recognition: State of the Art Performance on FER2013
Residual Masking Network74.14Facial Expression Recognition using Residual Masking Network
DeepEmotion70.02Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
0 of 16 row(s) selected.