{Xiaojian Yuan}
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%.
Code Repositories
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| facial-expression-recognition-on-fer2013 | ResNet18 With Tricks | Accuracy: 73.70 |
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