Recognizing Families In The Wild (Rfiw): The 4th Edition

2020 15TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2020)(2020)

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摘要
YYYY Recognizing Families In the Wild (RFIW)- an annual large-scale, multi-track automatic kinship recognition evaluation- supports various visual kin-based problems on scales much higher than ever before. Organized in conjunction with the 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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关键词
RFIW,recognizing families in the wild,multitrack automatic kinship recognition evaluation,kinship verification,evaluation protocols,search & retrieval of missing children,trisubject verification
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