Research map / Label-efficient and robust learning / Recognition and long-tail
Towards Open Set Deep Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add activation-vector Meta-Recognition and an unknown class to SoftMax | BVLC AlexNet · ImageNet 2012 val + open-set and fooling images | accuracy versus SoftMax with optimal threshold: 4.3% | Helped |
| Add activation-vector Meta-Recognition and an unknown class to SoftMax | BVLC AlexNet · ImageNet 2012 val + open-set and fooling images | accuracy versus base deep network: 12.3% | Helped |
| Use OpenMax rather than thresholding SoftMax probabilities | BVLC AlexNet · ImageNet 2012 val + open-set and fooling images | F-measure: 3450 more images | Helped |
| Use OpenMax rather than the base deep network | BVLC AlexNet · ImageNet 2012 val + open-set and fooling images | F-measure: 9847 more images | Helped |
| Use a weighted normalized Euclidean and cosine distance rather than pure Euclidean or other distance measures (ablation) | OpenMax · ImageNet 2012 | open-set recognition performance | No clear effect |
| Add uncertainty thresholding alongside the activation-vector unknown estimate (ablation) | OpenMax · ImageNet 2012 val + open-set and fooling images | open-set recognition | Helped |
Closest papers by meaning
- Learning Network Architecture for Open-Set Recognition (AAAI 2022 · similarity 0.90)
- GHOST: Gaussian Hypothesis Open-Set Technique (AAAI 2025 · similarity 0.86)
- Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition (AAAI 2025 · similarity 0.86)
- All Beings Are Equal in Open Set Recognition (AAAI 2024 · similarity 0.85)
- Frequency Shuffling and Enhancement for Open Set Recognition (AAAI 2024 · similarity 0.84)
- EGonc : Energy-based Open-Set Node Classification with substitute Unknowns (NeurIPS 2024 · similarity 0.84)
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