Flexible modality mixture of experts with refined prompt learning for flexible face anti-spoofing

Xu ZHANG , Hui MA , Yefan LI , Fuqing DUAN

Front. Comput. Sci. ›› 2027, Vol. 21 ›› Issue (4) : 2104331

PDF (796KB)
Front. Comput. Sci. ›› 2027, Vol. 21 ›› Issue (4) :2104331 DOI: 10.1007/s11704-026-50892-9
Artificial Intelligence
LETTER
Flexible modality mixture of experts with refined prompt learning for flexible face anti-spoofing
Author information +
History +
PDF (796KB)

Graphical abstract

Cite this article

Download citation ▾
Xu ZHANG, Hui MA, Yefan LI, Fuqing DUAN. Flexible modality mixture of experts with refined prompt learning for flexible face anti-spoofing. Front. Comput. Sci., 2027, 21(4): 2104331 DOI:10.1007/s11704-026-50892-9

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Radford A, Kim J W, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, Krueger G, Sutskever I. Learning transferable visual models from natural language supervision. In: Proceedings of the 38th International Conference on Machine Learning. 2021, 8748−8763

[2]

Puigcerver J, Riquelme C, Mustafa B, Houlsby N. From sparse to soft mixtures of experts. In: Proceedings of the 12th International Conference on Learning Representations. 2024

[3]

Jia M, Tang L, Chen B C, Cardie C, Belongie S, Hariharan B, Lim S N. Visual prompt tuning. In: Proceedings of the 17th European Conference on Computer Vision. 2022, 709−727

[4]

Zhang S, Liu A, Wan J, Liang Y, Guo G, Escalera S, Escalante H J, Li S Z . Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020, 182–193

[5]

Liu A, Tan Z, Wan J, Escalera S, Guo G, Li S Z. CASIA-SURF CeFA: a benchmark for multi-modal cross-ethnicity face anti-spoofing. In: Proceedings of 2021 IEEE Winter Conference on Applications of Computer Vision. 2021, 1178−1186

[6]

George A, Mostaani Z, Geissenbuhler D, Nikisins O, Anjos A, Marcel S . Biometric face presentation attack detection with multi-channel convolutional neural network. IEEE Transactions on Information Forensics and Security, 2020, 15: 42–55

[7]

Liu A, Tan Z, Yu Z, Zhao C, Wan J, Liang Y, Lei Z, Zhang D, Li S Z, Guo G . FM-ViT: flexible modal vision transformers for face anti-spoofing. IEEE Transactions on Information Forensics and Security, 2023, 18: 4775–4786

[8]

Liu A, Ma H, Zheng J, Yuan H, Yu X, Liang Y, Escalera S, Wan J, Lei Z. FM-CLIP: flexible modal clip for face anti-spoofing. In: Proceedings of the 32nd ACM International Conference on Multimedia. 2024, 8228−8237

[9]

Chong J X, Hsu F Y, Hsu M T, Lin Y T, Chien K H, Hsu C T, Huang P K . Multi-modal face anti-spoofing via cross-modal feature transitions. Expert Systems with Applications, 2026, 310: 131292

RIGHTS & PERMISSIONS

Higher Education Press

PDF (796KB)

Supplementary files

Highlights

262

Accesses

0

Citation

Detail

Sections
Recommended

/