Research map / Detection and segmentation / Open-set and few-shot detection
PROB: Probabilistic Objectness for Open World Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use probabilistic class-agnostic objectness with a Gaussian embedding model | Deformable DETR for open-world detection · M-OWODB Tasks 1–3 | U-Recall: 7.5 -> 19.4; 6.2 -> 17.4; 5.7 -> 19.6 | Helped |
| Remove objectness likelihood maximization (ablation) | PROB · M-OWODB Task 2 | mAP both known: 44.0 -> 32.3 | Hurt |
| Remove objectness likelihood maximization (ablation) | PROB · M-OWODB Task 2 | U-Recall: 17.4 -> 18.9 | No clear effect |
| Remove active exemplar selection (ablation) | PROB · M-OWODB Task 2 | U-Recall: 17.4 -> 15.9 | Hurt |
| Remove active exemplar selection (ablation) | PROB · M-OWODB Task 2 | mAP both known: 44.0 -> 43.5 | Hurt |
| Set inference objectness temperature to 0.5 | PROB · M-OWODB Task 2 | A-OSE: 6452 -> 562 | Helped |
| Set inference objectness temperature to 0.5 | PROB · M-OWODB Task 2 | U-Recall: 17.4 -> 17.7 | No clear effect |
Closest papers by meaning
- UMB: Understanding Model Behavior for Open-World Object Detection (NeurIPS 2024 · similarity 0.93)
- Open-World Objectness Modeling Unifies Novel Object Detection (CVPR 2025 · similarity 0.91)
- OW-OVD: Unified Open World and Open Vocabulary Object Detection (CVPR 2025 · similarity 0.91)
- Semi-supervised Open-World Object Detection (AAAI 2024 · similarity 0.90)
- Detecting Open World Objects via Partial Attribute Assignment (CVPR 2025 · similarity 0.90)
- OW-VAP: Visual Attribute Parsing for Open World Object Detection (ICML 2025 · similarity 0.88)
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