Watchlist Challenge: 3rd Open-set Face Detection and Identification

Furkan Kasım; Terrance E. Boult; Rensso Mora; Bernardo Biesseck; Rafael Ribeiro; Jan Schlueter; Tomáš Repák; Rafael Henrique Vareto; David Menotti; William Robson Schwartz; Manuel Günther

arXiv · 2409.07220

Watchlist Challenge: 3rd Open-set Face Detection and Identification

Furkan Kasım·Terrance E. Boult·Rensso Mora·Bernardo Biesseck·Rafael Ribeiro·Jan Schlueter·Tomáš Repák·Rafael Henrique Vareto·David Menotti·William Robson Schwartz·Manuel Günther

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Abstract

In the current landscape of biometrics and surveillance, the ability to accurately recognize faces in uncontrolled settings is paramount. The Watchlist Challenge addresses this critical need by focusing on face detection and open-set identification in real-world surveillance scenarios. This paper presents a comprehensive evaluation of participating algorithms, using the enhanced UnConstrained College Students (UCCS) dataset with new evaluation protocols. In total, four participants submitted four face detection and nine open-set face recognition systems. The evaluation demonstrates that while detection capabilities are generally robust, closed-set identification performance varies significantly, with models pre-trained on large-scale datasets showing superior performance. However, open-set scenarios require further improvement, especially at higher true positive identification rates, i.e., lower thresholds.

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Furkan Kasım, Terrance E. Boult, Rensso Mora, Bernardo Biesseck, Rafael Ribeiro, Jan Schlueter, Tomáš Repák, Rafael Henrique Vareto, David Menotti, William Robson Schwartz, Manuel Günther. 2024-09-11. Watchlist Challenge: 3rd Open-set Face Detection and Identification. https://arxiv.org/abs/2409.07220

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