Abstract: The disclosure relates to the technical fields of deep learning and image processing, and provides an expression recognition method incorporated with uncertainty estimation and active learning. The expression recognition method incorporated with uncertainty estimation and active learning includes following steps: 1. contrastive self-supervised pre-training; 2. a Dynamic Re-labeling Module (DRM) incorporated with uncertainty estimation; and 3. model adjustment based on a pre-training model. In the expression recognition method incorporated with uncertainty estimation and active learning according to the disclosure, firstly, feature extraction ability of the model is improved using contrastive learning based on low-level feature representations of the whole unlabeled data set and with the improved uncertainty estimation method. Subsequently, the model is fine-tuned through the active learning based on the pre-training model, so as to select and label most informative samples more efficiently.