论文标题
vipriors对象检测挑战
VIPriors Object Detection Challenge
论文作者
论文摘要
本文是我们提交给Vipriors对象检测挑战的简短报告。对象检测吸引了许多研究人员的全面应用，但这仍然是一项艰巨的任务。在本文中，我们研究了分析数据的特征，并提出了有效的数据增强方法。我们仔细选择更适合从头开始训练的模型。我们从使用软网络和模型融合中受益匪浅。
This paper is a brief report to our submission to the VIPriors Object Detection Challenge. Object Detection has attracted many researchers' attention for its full application, but it is still a challenging task. In this paper, we study analysis the characteristics of the data, and an effective data enhancement method is proposed. We carefully choose the model which is more suitable for training from scratch. We benefit a lot from using softnms and model fusion skillfully.
