mlsanityData to 7 Oct 2026

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

arXiv 2111.00598 ↗First posted 31 Oct 2021cs.CVcited by 4

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Abstract (arXiv)

Recognizing Families In the Wild (RFIW), held as a data challenge in conjunction with the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG), is a large-scale, multi-track visual kinship recognition evaluation. For the fifth edition of RFIW, we continue to attract scholars, bring together professionals, publish new work, and discuss prospects. In this paper, we summarize submissions for the three tasks of this year's RFIW: specifically, we review the results for kinship verification, tri-subject verification, and family member search and retrieval. We look at the RFIW problem, share current efforts, and make recommendations for promising future directions.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 24 of its 51 references that are in the map. First posted on arXiv 31 Oct 2021.

Builds on

24 of 51 references.

References · 24

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  11. 2016Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarkscited by 13
  12. 2015Tri-Subject Kinship Verification: Understanding the Core of A Familycited by 10
12 more
  1. 2020Deep Fusion Siamese Network for Automatic Kinship Verificationcited by 7
  2. 2018KinshipGAN: Synthesizing of Kinship Faces From Family Photos by Regularizing a Deep Face Networkcited by 6
  3. 2019Multi-Prototype Networks for Unconstrained Set-based Face Recognitioncited by 6
  4. 2020Achieving Better Kinship Recognition Through Better Baselinecited by 6
  5. 2019What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizercited by 5
  6. 2020Recognizing Families In the Wild: White Paper for the 4th Edition Data Challengecited by 4
  7. 2018From Same Photo: Cheating on Visual Kinship Challengescited by 3
  8. 2020Challenge report: Recognizing Families In the Wild Data Challengecited by 3
  9. 2020A Multi-Task Comparator Framework for Kinship Verificationcited by 3
  10. 2020Multi-view Deep Features for Robust Facial Kinship Verificationcited by 2
  11. 2020Retrieval of Family Members Using Siamese Neural Networkcited by 1
  12. 2021Automatic Face Understanding: Recognizing Families in Photoscited by 1

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 2; 2024: 1.

4 papers.

  1. 2023Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognitioncited by 3
  2. 2024Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Reviewcited by 3
  3. 2022Confidence-Calibrated Face and Kinship Verificationcited by 1
  4. 2023KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learningcited by 1