Research map / Label-efficient and robust learning / Recognition and long-tail
Learning Invariant Deep Representation for NIR-VIS Face Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add orthogonal shared/unique subspace decomposition (ablation) | DR-64 · CASIA NIR-VIS 2.0 | rank-1 accuracy: 90.66% -> 95.82% | Helped |
| add orthogonal subspace decomposition (ablation) | DR-128 · CASIA NIR-VIS 2.0 | rank-1 accuracy: 93.78% -> 97.33% | Helped |
| add maxout operator in feature layer (ablation) | IDR-64 · CASIA NIR-VIS 2.0 | EER: 97.98% -> 98.79% (100%-EER) | Helped |
| add maxout operator in feature layer (ablation) | IDR-64 · CASIA NIR-VIS 2.0 | rank-1 accuracy: 93.65% -> 95.82% | Helped |
| increase feature dimension 64 -> 128 (ablation) | IDR · CASIA NIR-VIS 2.0 | rank-1 accuracy: 95.82% -> 97.33% | Helped |
| pretrain on large VIS data and fine-tune on NIR-VIS vs prior SOTA | DR-128 · CASIA NIR-VIS 2.0 | rank-1 accuracy: 86.16% -> 93.78% | Helped |
Closest papers by meaning
- Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding (CVPR 2017 · similarity 0.91)
- Physically-Based Face Rendering for NIR-VIS Face Recognition (NeurIPS 2022 · similarity 0.90)
- Disentangled Variational Representation for Heterogeneous Face Recognition (AAAI 2019 · similarity 0.90)
- Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources (CVPR 2021 · similarity 0.87)
- Masked Face Recognition with Generative-to-Discriminative Representations (ICML 2024 · similarity 0.85)
- Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition (AAAI 2024 · similarity 0.85)
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