论文标题
第一个小物体检测挑战：方法和结果
The 1st Tiny Object Detection Challenge:Methods and Results
论文作者
论文摘要
第一个微小的对象检测（TOD）挑战旨在鼓励研究在具有广泛视图的图像中开发新颖和准确的方法，以广泛的看法，目前侧重于微小的人检测。 TINYPERS数据集用于TOD挑战赛，并公开发布。它具有1610张图像和72651个盒子级别。来自全球的大约36支参加球队参加了第一届TOD挑战赛。在本文中，我们简要摘要第1托特挑战赛，包括简要介绍了前三种方法。提交排行榜将重新开放，以供涉及Tod挑战的研究人员。基准数据集和其他信息可以在以下网址找到：https：//github.com/ucas-vg/tinybenchmark。
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection. The TinyPerson dataset was used for the TOD Challenge and is publicly released. It has 1610 images and 72651 box-levelannotations. Around 36 participating teams from the globe competed inthe 1st TOD Challenge. In this paper, we provide a brief summary of the1st TOD Challenge including brief introductions to the top three methods.The submission leaderboard will be reopened for researchers that areinterested in the TOD challenge. The benchmark dataset and other information can be found at: https://github.com/ucas-vg/TinyBenchmark.
