论文标题

认识野外家庭:第四版数据挑战的白皮书

Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

论文作者

Robinson, Joseph P., Yin, Yu, Khan, Zaid, Shao, Ming, Xia, Siyu, Stopa, Michael, Timoner, Samson, Turk, Matthew A., Chellappa, Rama, Fu, Yun

论文摘要

认识野外家庭(RFIW):一年一度的大型,多轨自动亲属识别评估评估,该评估支持比以往任何时候都高得多的基于视觉亲属的问题。 RFIW与第15届IEEE国际面部和手势识别国际会议(FG)一起组织,RFIW为发布原创作品和专家聚集提供了一个平台,以讨论下一步。本文总结了评估协议中受支持的任务(即亲属验证,三主体验证以及搜索和检索的搜索和检索),其中包括实际动机,技术背景,数据拆分,指标和基准结果。此外,列出并审查了顶级提交(即领导者统计数据),并将其审查为对问题状态的高级分析。最后,本文的目的是描述端到端的2020 RFIW挑战,以及在有希望的未来方向上的预测。

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much higher than ever before. Organized in conjunction with the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) as a Challenge, RFIW provides a platform for publishing original work and the gathering of experts for a discussion of the next steps. This paper summarizes the supported tasks (i.e., kinship verification, tri-subject verification, and search & retrieval of missing children) in the evaluation protocols, which include the practical motivation, technical background, data splits, metrics, and benchmark results. Furthermore, top submissions (i.e., leader-board stats) are listed and reviewed as a high-level analysis on the state of the problem. In the end, the purpose of this paper is to describe the 2020 RFIW challenge, end-to-end, along with forecasts in promising future directions.

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