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Unifying Identification and Context Learning for Person Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace uniform region weighting with instance-dependent RANet weights (ablation) | Person recognition model · PIPA day split | accuracy: 47.09% -> 65.49% | Helped |
| Replace uniform region weighting with instance-dependent RANet weights (ablation) | Person recognition model · PIPA original, album, and time splits | accuracy: 82.79% -> 87.33%; 75.24% -> 82.59%; 66.55% -> 76.52% | Helped |
| Add person-person relations to RANet (ablation) | +RANet · PIPA original, album, time, and day splits | accuracy: 87.33% -> 88.06%; 82.59% -> 83.21%; 76.52% -> 77.64%; 65.49% -> 65.91% | Helped |
| Add event-person relations to RANet with person-person relations (ablation) | +RANet+P · PIPA original, album, time, and day splits | accuracy: 88.06% -> 89.73%; 83.21% -> 85.33%; 77.64% -> 80.42%; 65.91% -> 67.16% | Helped |
| Use the full RANet and social-context framework instead of MLC | Person recognition · PIPA original, album, time, and day splits | accuracy: 88.20% -> 89.73%; 83.02% -> 85.33%; 77.04% -> 80.42%; 59.77% -> 67.16% | Helped |
| Replace uniform region weighting with instance-dependent RANet weights (ablation) | Person recognition model · CIM | accuracy: 68.12% -> 71.93% | Helped |
| Add person-person relations to RANet (ablation) | +RANet · CIM | accuracy: 71.93% -> 72.56% | Helped |
| Add event-person relations to RANet with person-person relations (ablation) | +RANet+P · CIM | accuracy: 72.56% -> 74.40% | Helped |
| Use the full framework instead of the uniform-weight baseline | Person recognition · CIM | accuracy: 68.12% -> 74.40% | Helped |
Closest papers by meaning
- A Multi-Level Contextual Model For Person Recognition in Photo Albums (CVPR 2016 · similarity 0.90)
- Learning Context Graph for Person Search (CVPR 2019 · similarity 0.89)
- Sequential Person Recognition in Photo Albums With a Recurrent Network (CVPR 2017 · similarity 0.88)
- Pose-Aware Person Recognition (CVPR 2017 · similarity 0.87)
- Recurrent Attention Models for Depth-Based Person Identification (CVPR 2016 · similarity 0.87)
- Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes (CVPR 2025 · similarity 0.85)
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