Margin-aware Rectified Augmentation for Long-tailed Recognition

•Long-tailed distribution leads to decision boundary bias in deep neural networks.•The classification performance declines under the bias caused by data imbalance.•A novel margin-aware augmentation method rectifies the biased boundary.•Large improvements on long-tailed classification benchmark with a better calibrated classifier.