Data Augmentation Based on Cannikin Law for Object Detection

Data augmentation is one of the most significant approaches to improve the performance of object detection. Currently, data augmentation is generally used for resolving the long tail and sample imbalance problem. However, there is an imbalance of detection performance in multi-class object detection without the impact of the above-mentioned problems. In this paper, we present an offline data augme...