A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains

Research article (IEEE Transactions on Information Forensics and Security, 2022) · cited 18× · AI/ML
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An Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains

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An Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-unified-framework-for-bidirectional-prototype-learning-from-contaminated-faces-across-heterogeneous-domains
MLA “A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-unified-framework-for-bidirectional-prototype-learning-from-contaminated-faces-across-heterogeneous-domains.
BibTeX @misc{4ortxyz_a-unified-framework-for-bidirectional-prototype-learning-from-contaminated-faces-across-heterogeneous-domains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains}}, year = {2026}, url = {https://4ort.xyz/entity/a-unified-framework-for-bidirectional-prototype-learning-from-contaminated-faces-across-heterogeneous-domains}, note = {Accessed: 2026-05-24}}
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