mlsanityData to 14 Oct 2026

Revisiting Face Recognition for Monozygotic Twins: The Celeb Twins Test Set

arXiv 2609.01141 ↗First posted 1 Sep 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

Past literature on face recognition for monozygotic (("identical") twins points to facial marks and mirror asymmetry as possible directions for improved accuracy of twins recognition. The Celeb Twins Test Set (CTTS) contains web-scraped image pairs for 80 sets of celebrity twins. It is the only twins test set with meta-data for twins with distinguishing skin marks and possible mirror asymmetry. CTTS is organized in the manner of face verification test sets such as LFW, CALFW, CPLFW, CFP-FP, and AgeDB-30. Current deep CNN matchers can achieve over 76% accuracy in classifying CTTS same-person / different-person image pairs. We show that current matchers do not make use of skin marks, or asymmetry, and discuss reasons for this. Finally, we discuss the feasibility of using generative AI tools such as Grok, ChatGPT and Gemini to create images of imagined monozygotic twins as a means to increase representation of twins in face recognition training sets.

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References · 14

  1. 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 391
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  6. 2023Synthetic Data for Face Recognition: Current State and Future Prospectscited by 38
  7. 2024Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectorscited by 15
  8. 2017The Do's and Don'ts for CNN-based Face Verificationcited by 13
  9. 2020The Criminality From Face Illusioncited by 8
  10. 2024Can the accuracy bias by facial hairstyle be reduced through balancing the training data?cited by 5
  11. 2022Twin identification over viewpoint change: A deep convolutional neural network surpasses humanscited by 4
  12. 2024Goldilocks Test Sets for Face Verificationcited by 3
2 more
  1. 2024Impact of Sunglasses on One-to-Many Facial Identification Accuracycited by 3
  2. 2022Benchmarking Human Face Similarity Using Identical Twinscited by 2

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