CVPR2017 6篇获奖论文：Annotating Object Instances with a Polygon-RNN，Densely Connected Convolutional Networks，Learning from Simulated and Unsupervised Images through Adversarial Training，Object retrieval with large vocabularies and fast spatial matching，C
以下是论文的序：
大概意思就是说用YOLOv2检测了9000种分类
We introduce YOLO9000, a state-of-the-art, real-time
object detection system that can detect over 9000 object
categories. First we propose various improvements to the
YOLO detection method, both novel and drawn
