%Aigaion2 BibTeX export from Idiap Publications
%Saturday 21 December 2024 05:42:46 PM

@INPROCEEDINGS{George_IJCB2023-2_2023,
         author = {George, Anjith and Ecabert, Christophe and Otroshi Shahreza, Hatef and Kotwal, Ketan and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {EFaR 2023: Efficient Face Recognition Competition},
      booktitle = {IEEE International Joint Conference on Biometrics (IJCB 2023)},
           year = {2023},
           issn = {2474-9680},
           isbn = {979-8-3503-3726-6},
       abstract = {This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held within the 2023 In- ternational Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recog- nition models, the submitted solutions are ranked based on a weighted score of the achieved verification accura- cies on a diverse set of benchmarks, as well as the de- ployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition bench- marks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines, the methodologies used to achieve lightweight and efficient face recognition solutions, and out- looks on possible techniques that are underrepresented in current solutions.},
            pdf = {https://publications.idiap.ch/attachments/papers/2023/George_IJCB2023-2_2023.pdf}
}