ML Research Wiki / Benchmarks / Facial Expression Recognition (FER) / FER2013

FER2013

Facial Expression Recognition (FER) Benchmark

Performance Over Time

📊 Showing 9 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 ResEmoteNet 📚 ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition 79.79 2024-09-01 📦 ArnabKumarRoy02/ResEmoteNet
2 Mini-ResEmoteNet (A) 📚 Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design 76.33 2025-01-30 -
3 EmoNeXt EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition 76.12 2025-01-14 📦 yelboudouri/EmoNeXt
4 Local Learning Deep+BOW 📚 Local Learning with Deep and Handcrafted Features for Facial Expression Recognition 75.42 2018-04-29 -
5 LHC-Net 📚 Local Multi-Head Channel Self-Attention for Facial Expression Recognition 74.42 2021-11-14 📦 bodhis4ttva/lhc_net
6 VGGNet Facial Emotion Recognition: State of the Art Performance on FER2013 73.28 2021-05-08 📦 usef-kh/fer 📦 bakerv/fer-webcam
7 Mini-ResEmoteNet (B) 📚 Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design 70.20 2025-01-30 -
8 DeepEmotion Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network 70.02 2019-02-04 📦 omarsayed7/Deep-Emotion 📦 KLT20/Realtime-Face-Emotion-Recognition 📦 kaushal-k/Deep-Emotion
9 Local Learning BOW Challenges in Representation Learning: A report on three machine learning contests 67.48 2013-07-01 📦 phamquiluan/ResidualMaskingNetwork 📦 justinshenk/fer 📦 NJNischal/Facial-Expression-Recognition-with-CNNs

All Papers (9)