论文标题
IROS 2019终身机器人视觉挑战 - 终身对象识别报告
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
论文作者
论文摘要
该报告总结了IROS 2019-Lifelong机器人视觉竞赛（终生对象识别挑战），其方法和最终$ 8 $决赛选手的结果（超过$ 150 $ $ 150美元）。竞争数据集（L）IFEL（O）Ng（r）obotic V（is）离子（openloris） - 对象识别（Openloris -Object）旨在推动机器人视觉域中的终生/持续学习研究和应用，并在家庭，办公室，校园和购物中心中使用日常对象。数据集明确量化了照明，对象遮挡，对象大小，对象对象距离/角度和混乱信息的变体。规则旨在量化机器人视觉系统的学习能力时，面对比赛中出现的对象。可以在项目主页上找到个人报告，数据集信息，规则和已发布的源代码：“ https：//lifelong-robotic-vision.github.io/competition/”。
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top $8$ finalists (out of over~$150$ teams). The competition dataset (L)ifel(O)ng (R)obotic V(IS)ion (OpenLORIS) - Object Recognition (OpenLORIS-object) is designed for driving lifelong/continual learning research and application in robotic vision domain, with everyday objects in home, office, campus, and mall scenarios. The dataset explicitly quantifies the variants of illumination, object occlusion, object size, camera-object distance/angles, and clutter information. Rules are designed to quantify the learning capability of the robotic vision system when faced with the objects appearing in the dynamic environments in the contest. Individual reports, dataset information, rules, and released source code can be found at the project homepage: "https://lifelong-robotic-vision.github.io/competition/".
