Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition

6 Aug 2020 Vikas Kumar Shivansh Rao Li Yu

Facial expression recognition from videos in the wild is a challenging task due to the lack of abundant labelled training data. Large DNN (deep neural network) architectures and ensemble methods have resulted in better performance, but soon reach saturation at some point due to data inadequacy... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Facial Expression Recognition Acted Facial Expressions In The Wild (AFEW) resnet18_noisy Accuracy(on validation set) 55.17% # 1

Methods used in the Paper