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Models/Mini-ResEmoteNet (B)

Mini-ResEmoteNet (B)

Reported on 6 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Face ReconstructiononFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538
Facial Expression Recognition (FER)onFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538
3D Face ReconstructiononFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538

Music1 result

Facial Recognition and ModellingonFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538

Methodology1 result

3DonFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538

Medical1 result

3D Face ModellingonFER2013
Accuracy· uses extra data· 2025-01-30
70.2
best: 82.47 (EfficientFER)
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design arXiv:2501.18538