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Published at December 10PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
cs.CV
Released Date: December 10, 2024
Authors: Kartik Narayan1, Nithin Gopalakrishnan Nair1, Jennifer Xu2, Rama Chellappa1, Vishal M. Patel1
Aff.: 1Johns Hopkins University; 2Systems and Technology Research

| Training | Loss | Dataset | Arch. | High-Resolution | Mixed-Quality | Low-resolution | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LFW [17] | CFP-FP [43] | CPLFW [60] | AgeDB [41] | CALFW [61] | CFP-FF [43] | IJB-B [52] | IJB-C [39] | TinyFace [7] | ||||||
| Verification Accuracy | TAR@FAR=0.01% | Rank-1 | Rank-5 | Rank-10 | ||||||||||
| Pre-trained | CosFace [50] | WBF4M | R50 | 99.68 | 96.83 | 93.28 | 96.88 | 95.63 | 99.70 | 94.09 | 96.01 | 72.71 | 76.36 | 78.99 |
| Pre-trained | ArcFace [9] | WBF4M | R50 | 99.67 | 96.71 | 93.41 | 96.81 | 95.71 | 99.75 | 94.02 | 95.99 | 73.04 | 76.85 | 79.45 |
| Pre-trained | AdaFace [29] | WBF4M | R50 | 99.78 | 97.14 | 93.81 | 97.26 | 95.98 | 99.81 | 94.95 | 96.67 | 73.49 | 76.60 | 79.07 |
| \cdashline1-15[1pt/1pt] Pre-trained | CosFace [50] | WBF4M | ViT-B | 99.73 | 97.30 | 94.31 | 97.51 | 95.95 | 99.87 | 95.18 | 96.87 | 73.57 | 76.95 | 78.94 |
| Pre-trained | ArcFace [9] | WBF4M | ViT-B | 99.82 | 97.23 | 93.68 | 97.53 | 95.91 | 99.80 | 94.91 | 96.64 | 72.74 | 76.28 | 78.13 |
| Pre-trained | AdaFace [29] | WBF4M | ViT-B | 99.76 | 97.00 | 93.75 | 96.85 | 95.71 | 99.80 | 94.90 | 96.52 | 74.03 | 77.22 | 79.37 |
| Pre-trained | CosFace [50] | WBF4M | Swin-B | 99.78 | 96.75 | 93.76 | 97.65 | 95.98 | 99.87 | 95.18 | 96.79 | 72.74 | 76.79 | 79.18 |
| Pre-trained | ArcFace [9] | WBF4M | Swin-B | 99.76 | 96.77 | 93.93 | 97.35 | 95.83 | 99.87 | 94.87 | 96.66 | 73.31 | 76.68 | 79.23 |
| Full-FT | CosFace [50] | WBF4M | Swin-B | 98.50 | 89.52 | 84.88 | 85.10 | 89.15 | 97.55 | 75.22 | 79.47 | 71.32 | 76.42 | 79.45 |
| Full-FT | ArcFace [9] | WBF4M | Swin-B | 98.31 | 88.94 | 84.00 | 83.45 | 88.33 | 97.14 | 71.84 | 76.10 | 71.11 | 76.63 | 79.96 |
| LoRA | CosFace [50] | WBF4M | Swin-B | 99.65 | 96.61 | 93.38 | 97.35 | 95.75 | 99.84 | 93.57 | 95.63 | 75.37 | 78.88 | 82.02 |
| LoRA | ArcFace [9] | WBF4M | Swin-B | 99.73 | 96.28 | 93.20 | 96.71 | 95.68 | 99.74 | 93.38 | 95.28 | 75.64 | 78.99 | 81.43 |
| PETALface | CosFace [50] | WBF4M | Swin-B | 99.68 | 96.61 | 93.50 | 97.40 | 95.76 | 99.85 | 93.79 | 95.67 | 75.45 | 79.05 | 81.19 |
| PETALface | ArcFace [9] | WBF4M | Swin-B | 99.66 | 96.37 | 93.18 | 96.45 | 95.61 | 99.80 | 93.29 | 95.27 | 75.72 | 78.86 | 81.70 |
| PETALface | ArcFace [9] | WBF12M | Swin-B | 99.76 | 97.31 | 94.25 | 98.08 | 95.80 | 99.91 | 95.17 | 96.87 | 76.66 | 79.64 | 81.38 |