TY - GEN
T1 - Recognizing Families in the Wild (RFIW)
T2 - 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
AU - Robinson, Joseph P.
AU - Yin, Yu
AU - Khan, Zaid
AU - Shao, Ming
AU - Xia, Siyu
AU - Stopa, Michael
AU - Timoner, Samson
AU - Turk, Matthew A.
AU - Chellappa, Rama
AU - Fu, Yun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85101487471
UR - https://www.scopus.com/pages/publications/85101487471#tab=citedBy
U2 - 10.1109/FG47880.2020.00138
DO - 10.1109/FG47880.2020.00138
M3 - Conference contribution
AN - SCOPUS:85101487471
T3 - Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
SP - 857
EP - 862
BT - Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
A2 - Struc, Vitomir
A2 - Gomez-Fernandez, Francisco
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 November 2020 through 20 November 2020
ER -