Research map / Label-efficient and robust learning / Recognition and long-tail
Active Sampling for Open-Set Classification without Initial Annotation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add diversity term to active sampling (ablation) | ASOCIA · ExtendedYaleB | F1-total: 0.964 -> 0.966 | Helped |
| add diversity term to active sampling (ablation) | ASOCIA · Coil20 | F1-total: 0.927 -> 0.982 | Helped |
| add diversity term to active sampling (ablation) | ASOCIA · Fashion-MNIST | F1-total: 0.539 -> 0.571 | Helped |
| add diversity term to active sampling (ablation) | ASOCIA · Fashion-MNIST | Accuracy-known: 0.818 -> 0.810 | Hurt |
| add diversity term to active sampling (ablation) | ASOCIA · ExtendedYaleB multi-stage, stage three | F1-Measure: 0.968 -> 0.964 | No clear effect |
| ASOCIA vs ASG adversarial boundary method | ASOCIA · Fashion-MNIST | F1-total: 0.322 -> 0.571 | Helped |
| increase affiliation-matrix budget from 15 to 90 (ablation) | ASOCIA · ExtendedYaleB, Fashion-MNIST, Coil20 | Accuracy-known / F1 | Helped |
Closest papers by meaning
- Inconsistency-Based Data-Centric Active Open-Set Annotation (AAAI 2024 · similarity 0.88)
- Entropic Open-Set Active Learning (AAAI 2024 · similarity 0.87)
- Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning (AAAI 2024 · similarity 0.86)
- Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach (CVPR 2025 · similarity 0.86)
- Active Generalized Category Discovery (CVPR 2024 · similarity 0.85)
- Universal Rates for Active Learning (NeurIPS 2024 · similarity 0.85)
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