Papers › Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He
Heterogeneous Face Recognition (HFR) is a challenging issue because of the large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a dual generation problem, and proposes a novel Dual Variational Generation (DVG) framework. It generates large-scale new paired heterogeneous images with the same identity from noise, for the sake of reducing the domain gap of HFR. Specifically, we first introduce a dual variational autoencoder to represent a joint distribution of paired heterogeneous images. Then, in order to ensure the identity consistency of the generated paired heterogeneous images, we impose a distribution alignment in the latent space and a pairwise identity preserving in the image space. Moreover, the HFR network reduces the domain discrepancy by constraining the pairwise feature distances between the generated paired heterogeneous images. Extensive experiments on four HFR databases show that our method can significantly improve state-of-the-art results. The related code is available at https://github.com/BradyFU/DVG.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Face Verification | BUAA-VisNir | LightCNN-29 + DVG | TAR @ FAR=0.001 | 97.3 | #1 of 3 | Archive leaderboard | report |
| Face Verification | BUAA-VisNir | LightCNN-29 + DVG | TAR @ FAR=0.01 | 98.5 | #1 of 3 | Archive leaderboard | report |
| Face Verification | CASIA NIR-VIS 2.0 | LightCNN-29 + DVG | TAR @ FAR=0.001 | 99.8 | #1 of 3 | Archive leaderboard | report |
| Face Verification | IIIT-D Viewed Sketch | LightCNN-29 + DVG | TAR @ FAR=0.01 | 97.86 | #1 of 1 | Archive leaderboard | report |
| Face Verification | Oulu-CASIA NIR-VIS | LightCNN-29 + DVG | TAR @ FAR=0.001 | 92.9 | #1 of 3 | Archive leaderboard | report |
| Face Verification | Oulu-CASIA NIR-VIS | LightCNN-29 + DVG | TAR @ FAR=0.01 | 98.5 | #1 of 3 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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