说明：  Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years
(The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context. In this paper, we propose a simple and scalable detection algorithm that improves mean average precision (mAP) by more than)