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SotA/Computer Vision/Face Reconstruction/FER2013

Face Reconstruction on FER2013

Metric: Accuracy (higher is better)

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Results

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1EfficientFER82.47Yes--Code
2FERNeXt-SDAFE81.33Yes---
3ResEmoteNet79.79YesResEmoteNet: Bridging Accuracy and Loss Reductio...2024-09-01Code
4Ensemble ResMaskingNet with 6 other CNNs76.82Yes--Code
5Mini-ResEmoteNet (A)76.33YesMini-ResEmoteNet: Leveraging Knowledge Distillat...2025-01-30-
6EmoNeXt76.12NoEmoNeXt: an Adapted ConvNeXt for Facial Emotion ...2025-01-14Code
7Segmentation VGG-1975.97Yes--Code
8Local Learning Deep+BOW75.42YesLocal Learning with Deep and Handcrafted Feature...2018-04-29-
9LHC-Net74.42YesLocal Multi-Head Channel Self-Attention for Faci...2021-11-14Code
10Residual Masking Network74.14Yes--Code
11ResNet18 With Tricks73.7No--Code
12VGGNet73.28NoFacial Emotion Recognition: State of the Art Per...2021-05-08Code
13CNN Hyperparameter Optimisation72.16No--Code
14Ad-Corre72.03No--Code
15Mini-ResEmoteNet (B)70.2YesMini-ResEmoteNet: Leveraging Knowledge Distillat...2025-01-30-
16DeepEmotion70.02NoDeep-Emotion: Facial Expression Recognition Usin...2019-02-04Code
17Local Learning BOW67.48NoChallenges in Representation Learning: A report ...2013-07-01Code