Temporal augmented contrastive learning for micro-expression recognition

•Adaptively temporal augmentation is combined with momentum contrast into the pre-training.•Micro-expression sequences (new dataset) are interpolated from raw ones in a recursive way.•A shallow model with inflated inception module is designed to alleviate the overfitting problem.•The pre-trained model outperforms other optical flow-based state-of-the-arts through experiments.