Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge
It addresses kinship recognition for researchers and practitioners by organizing an annual evaluation, but it is incremental as it builds on previous editions without introducing new methods.
The paper describes the 2020 Recognizing Families In the Wild (RFIW) challenge, which tackles large-scale automatic kinship recognition through tasks like kinship verification and missing children retrieval, providing benchmark results and leaderboard statistics from top submissions.
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.