Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

CVPR 2018 Xi PengZhiqiang TangFei YangRogerio FerisDimitris Metaxas

Random data augmentation is a critical technique to avoid overfitting in training deep neural network models. However, data augmentation and network training are usually treated as two isolated processes, limiting the effectiveness of network training... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Pose Estimation Leeds Sports Poses +ASR+AHO PCK 94.5% # 1
Pose Estimation MPII Human Pose Residual Hourglass +ASR+AHO PCKh-0.5 91.5% # 7