SDFR at FG2024

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2. Leaderboard

The final leaderboard for each task is as follows:

Leaderboard of Task 1

Team Name	LFW	CALFW	CPLFW	AgeDB30	CFP-FP	IJB-B(FAR:E-4)	IJB-C(FAR:E-4)	Rank	ONNX Model
IGD-IDiff-Face	98.07	90.60	81.28	87.60	84.76	64.36	68.04	1	model
APhi	97.45	89.95	78.03	84.75	80.04	58.18	60.85	2	model
BOVIFOCR-UFPR	97.53	89.38	80.07	83.90	84.37	12.70	13.71	3	model
BioLab	96.97	89.12	76.80	83.77	77.34	60.21	63.56	4	model
BiDA-PRA	96.88	87.95	78.13	83.85	78.90	58.08	58.33	5	model

Leaderboard of Task 2

Team Name	LFW	CALFW	CPLFW	AgeDB30	CFP-FP	IJB-B(FAR:E-4)	IJB-C(FAR:E-4)	Rank	ONNX Model
BioLab	98.33	90.87	84.45	87.85	88.11	76.94	81.25	1	model
BiDA-PRA	96.88	87.95	78.13	83.85	78.90	58.08	58.33	2	model
BOVIFOCR-UFPR	96.38	88.38	75.98	81.55	76.97	40.97	45.93	3	model

NOTE1: The ONNX files of final submissions of all teams are publicly available. The expected input to the ONNX files are defined in the competition dev kit. In particular, the input image should be in the RGB format and in the range of [0,1].

NOTE2: Description of the trained models by each team is presented in the summary paper of the competition. If you use the reported results or trained models, please cite the competition paper with the following reference:

  @inproceedings{sdfr,
    author       = {Hatef Otroshi Shahreza and others},
    title        = {SDFR: Synthetic Data for Face Recognition Competition},
    booktitle    = {2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)},
    organization = {IEEE},
    year         = {2024}
  }