Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
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Abstract (arXiv)
Human object interaction (HOI) detection plays a crucial role in human-centric scene understanding and serves as a fundamental building-block for many vision tasks. One generalizable and scalable strategy for HOI detection is to use weak supervision, learning from image-level annotations only. This is inherently challenging due to ambiguous human-object associations, large search space of detecting HOIs and highly noisy training signal. A promising strategy to address those challenges is to exploit knowledge from large-scale pretrained models (e.g., CLIP), but a direct knowledge distillation strategy~citepliao2022gen does not perform well on the weakly-supervised setting. In contrast, we develop a CLIP-guided HOI representation capable of incorporating the prior knowledge at both image level and HOI instance level, and adopt a self-taught mechanism to prune incorrect human-object associations. Experimental results on HICO-DET and V-COCO show that our method outperforms the previous works by a sizable margin, showing the efficacy of our HOI representation.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 36 of its 46 references that are in the map. First posted on arXiv 2 Mar 2023.
Builds on
36 of 46 references.
References · 36
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24 more
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Built on by
Citing papers per year: 2023: 3; 2024: 5; 2025: 1; 2026: 2.
11 papers.
- 2023HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Modelscited by 60
- 2024Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detectioncited by 7
- 2025Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibrationcited by 7
- 2023Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levelscited by 5
- 2024A Review of Human-Object Interaction Detectioncited by 5
- 2023Enhancing HOI Detection with Contextual Cues from Large Vision-Language Modelscited by 3
- 2024Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integrationcited by 3
- 2026Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wildcited by 1
- 2024FreeA: Human-object Interaction Detection using Free Annotation Labelscited by 0
- 2024An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training setcited by 0
- 2026RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detectioncited by 0
- 2026Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild15 Jul 2026
- 2026RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection1 Apr 2026
- 2025Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration5 Aug 2025
- 2024A Review of Human-Object Interaction Detection20 Aug 2024
- 2024An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set11 Aug 2024
- 2024Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integration12 Mar 2024
- 2024FreeA: Human-object Interaction Detection using Free Annotation Labels4 Mar 2024
- 2024Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection11 Jan 2024
- 2023Enhancing HOI Detection with Contextual Cues from Large Vision-Language Models26 Nov 2023
- 2023Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels10 Sep 2023
- 2023HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models28 Mar 2023