eXnet: An Efficient Approach for Emotion Recognition in the Wild

This is the official repo of the paper 'eXnet: An Efficient Approach for Emotion Recognition in the Wild' [1].

Model architecture

please refer to final.py as model architecture.

Model testing

Run test.py as model testing on a single-face image. The results of trained_model lie under the results directory.

References

[1] Riaz, M.N.; Shen, Y.; Sohail, M.; Guo, M. eXnet: An Efficient Approach for Emotion Recognition in the Wild. Sensors 2020, 20, 1087. https://doi.org/10.3390/s20041087