Abstract
We investigate CLIP for zero-shot gender estimation from full-face and periocular images. Three CLIP backbones are evaluated on 11,299 frontal images from Adience using image-text similarity with male/female prompts, achieving 95.54% full-face accuracy without task-specific training. For periocular, zero-shot predictions are strongly biased towards males, primarily due to a misaligned decision boundary. Threshold alignment substantially reduces this bias, reaching 85.29% accuracy. Linear SVMs trained on CLIP features provide only marginal gains, with a best periocular accuracy of 86.17%, approximately 2.8% above previous Adience results in the literature. Nevertheless, the gap with full-face performance confirms the greater difficulty of periocular gender estimation
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Cite this article
APA 7
Alonso-Fernandez, F., Hernandez-Diaz, K., Buades, J. M., & Bigun, J. (2026). Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation. https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation
MLA 9
Alonso-Fernandez, Fernando, et al. "Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation." https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation.
Chicago (author–date)
Alonso-Fernandez, Fernando, Kevin Hernandez-Diaz, Jose Maria Buades, and Josef Bigun. 2026. "Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation." https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation.
Harvard
Alonso-Fernandez, F., Hernandez-Diaz, K., Buades, J. M. and Bigun, J. (2026) 'Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation', Available at: https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation.
Vancouver
Alonso-Fernandez F, Hernandez-Diaz K, Buades JM, Bigun J. Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation. https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation
IEEE
F. Alonso-Fernandez, K. Hernandez-Diaz, J. M. Buades, and J. Bigun, "Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation," https://omanscience.com/en/articles/benchmarking-clip-for-zero-shot-face-and-periocular-gender-estimation.