Research map / Detection and segmentation / Open-set and few-shot detection
Learning Human-Object Interaction Detection Using Interaction Points
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Represent HOI as interaction points and group them with human/object detections using interaction vectors and grouping constraints | HOI detection on V-COCO · V-COCO test | mAP_role: 47.8 -> 51.0 | Helped |
| Pre-train on HICO-DET, then fine-tune on V-COCO | Ours · V-COCO test | mAP_role: 51.0 -> 52.3 | Helped |
| Use interaction points with angle filtering (ablation) | HOI detection on V-COCO · V-COCO | mAP_role: 39.6 | Helped |
| Add dist-ratio filtering (ablation) | Interaction points with angle filter on V-COCO · V-COCO | mAP_role: 39.6 -> 41.3 | Helped |
| Add the interaction box constraint (ablation) | Interaction points with angle and dist-ratio filters on V-COCO · V-COCO | mAP_role: 41.3 -> 46.2 | Helped |
| Use interaction points with interaction box, without angle and dist-ratio filters (ablation) | HOI detection on V-COCO · V-COCO | mAP_role: 46.2 -> 48.2 | Helped |
| Add corner-distance filtering (ablation) | Interaction points and interaction box on V-COCO · V-COCO | mAP_role: 48.2 -> 50.5 | Helped |
| Add center-pool before the interaction point and vector branches (ablation) | Full HOI detection method on V-COCO · V-COCO | mAP_role: 50.5 -> 51.0 | Helped |
| Replace dynamic thresholds with fixed score threshold 0.01 (ablation) | Ours on HICO-DET · HICO-DET Default full | mAP_role: 19.56 -> 19.26 | Hurt |
| Replace dynamic thresholds with fixed score threshold 0.02 (ablation) | Ours on HICO-DET · HICO-DET Default full | mAP_role: 19.56 -> 19.32 | Hurt |
| Replace dynamic thresholds with fixed score threshold 0.05 (ablation) | Ours on HICO-DET · HICO-DET Default full | mAP_role: 19.56 -> 19.08 | Hurt |
| Replace dynamic thresholds with fixed score threshold 0.08 (ablation) | Ours on HICO-DET · HICO-DET Default full | mAP_role: 19.56 -> 18.66 | Hurt |
Closest papers by meaning
- Detecting Human-Object Interactions via Functional Generalization (AAAI 2020 · similarity 0.94)
- LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection (ICLR 2026 · similarity 0.93)
- Exploring Pose-Aware Human-Object Interaction via Hybrid Learning (CVPR 2024 · similarity 0.93)
- Learning Human-Object Interaction as Groups (NeurIPS 2025 · similarity 0.92)
- ContextHOI: Spatial Context Learning for Human-Object Interaction Detection (AAAI 2025 · similarity 0.91)
- HORP: Human-Object Relation Priors Guided HOI Detection (CVPR 2025 · similarity 0.90)
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