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
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.