Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design
Open paper
Benchmark
Model
Rank
Results
facial-expression-recognition-on-fer2013
Mini-ResEmoteNet (A)
–
Accuracy: 76.33
facial-expression-recognition-on-fer2013
Mini-ResEmoteNet (B)
–
Accuracy: 70.20
Rank counts only results with a code link.