Fer2013 Recognition - ResNet18 With Tricks

Code

• github.com/LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch
  Officialpytorch★ 103

Abstract

This work is the final project of the Computer Vision Course of USTC. However, I achieve the highest single-network classification accuracy on FER2013 based on ResNet18. To my best knowledge, this work achieves state-of-the-art single-network accuracy of 73.70 % on FER2013 without using extra training data, which exceeds the previous work [1] of 73.28%.

Tasks

Reproductions