Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
Training with more data has always been the most stable and effective way of improving performance in deep learn-ing era. As the largest object detection dataset so far, OpenImages brings great opportunities and challenges for object detection in general and sophisticated scenarios. However, owing to its semi-automatic collecting and labeling …