Research map / Vision-language and multimodal / CLIP and zero-shot
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CLIP visual features in the interaction decoder (ablation) | HOICLIP Base · HICO-DET, Rare categories | mAP: 26.68 -> 28.74 | Helped |
| Add knowledge integration cross-attention over detector and CLIP features (ablation) | HOICLIP +CLIP · HICO-DET, Full | mAP: 32.72 -> 34.13 | Helped |
| Add a verb adapter and visual-semantic-arithmetic verb classifier (ablation) | HOICLIP +integration · HICO-DET, Full | mAP: 34.13 -> 34.54 | Helped |
| Add training-free CLIP HOI enhancement (ablation) | HOICLIP +verb · HICO-DET, Full | mAP: 34.54 -> 34.69 | Helped |
| Use visual semantic arithmetic rather than sentence-based verb representations (ablation) | HOICLIP verb classifier · HICO-DET, Full | mAP: 33.38 -> 34.54 | Helped |
| Use visual semantic arithmetic rather than averaging HOI representations (ablation) | HOICLIP verb classifier · HICO-DET, Full | mAP: 33.09 -> 34.54 | Helped |
| Set verb-logit weight alpha to 0.50 instead of 0.00 (ablation) | HOICLIP · HICO-DET validation, Full | mAP: 31.16 -> 31.65 | Helped |
| Enable training-free enhancement with Top K 10 rather than Top K 0 (ablation) | HOICLIP · HICO-DET validation, Full | mAP: 31.65 -> 32.26 | Helped |
| Replace CLIP visual encoder with ImageNet-pretrained ViT (ablation) | HOICLIP · HICO-DET, 100% training data | mAP: 34.69 -> 33.03 | Hurt |
| Use HOICLIP instead of GEN-VLKT | HOI detection · HICO-DET, 5% training data, All Categories | mAP: 13.31 -> 21.94 | Helped |
| Use HOICLIP instead of GEN-VLKT | HOI detection · HICO-DET, NF-UC Full | mAP: 23.71 -> 27.75 | Helped |
| Use HOICLIP instead of GEN-VLKT | HOI detection · HICO-DET, default Rare categories | mAP: 29.25 -> 31.12 | Helped |
Closest papers by meaning
- LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection (ICLR 2026 · similarity 0.93)
- Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection (CVPR 2024 · similarity 0.91)
- Open-World Human-Object Interaction Detection via Multi-modal Prompts (CVPR 2024 · similarity 0.90)
- Discovering Syntactic Interaction Clues for Human-Object Interaction Detection (CVPR 2024 · similarity 0.90)
- Locality-Aware Zero-Shot Human-Object Interaction Detection (CVPR 2025 · similarity 0.90)
- HORP: Human-Object Relation Priors Guided HOI Detection (CVPR 2025 · similarity 0.90)
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