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Age-Invariant Face Recognition 벤치마크

Age-Invariant Face Recognition on FG-NET

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Accuracy

93.2 93.59 93.99 94.39 94.78 2018-09 2026-09 AIM — 93.2 (2018-09-02) AIM — 93.2 (2018-09-02) AIM — 93.2 (2018-09-02) AIM — 93.2 (2018-09-02) AIM — 93.2 (2018-09-02) AIM — 93.2 (2018-09-02) MTLFace — 94.78 (2021-03-02) MTLFace — 94.78 (2021-03-02) MTLFace — 94.78 (2021-03-02) MTLFace — 94.78 (2021-03-02) MTLFace — 94.78 (2021-03-02) MTLFace — 94.78 (2021-03-02) AIM — 93.2 (2018-09-02) MTLFace — 94.78 (2021-03-02)
RankModel Accuracy PaperCodeYear
1 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
2 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
3 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
4 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
5 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
6 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
7 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
8 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
9 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
10 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
11 MTLFace 94.78% When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework Hzzone/MTLFace 2021
12 AIM 93.2% Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition ZhaoJ9014/High_Performance_Face_Recognition 2018
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