EFaR 2023: Efficient Face Recognition Competition
| Type of publication: | Conference paper |
| Citation: | George_IJCB2023-2_2023 |
| Publication status: | Published |
| 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. |
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Idiap |
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| Added by: | [UNK] |
| Total mark: | 0 |
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