FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

21 Sep 2016Hui DingShaohua Kevin ZhouRama Chellappa

Relatively small data sets available for expression recognition research make the training of deep networks for expression recognition very challenging. Although fine-tuning can partially alleviate the issue, the performance is still below acceptable levels as the deep features probably contain redun- dant information from the pre-trained domain... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Facial Expression Recognition CK+ FN2EN Accuracy (10-fold) 98.6 # 2

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet