Human Object Interaction Detection

By themelower On Apr 23, 2026

Github Shi Labs Human Object Interaction Detection Human object interaction (hoi) detection is a fundamental task for scene understanding, where beyond detecting individual humans or object instances in images, the interaction between them is also estimated. This paper systematically summarizes and discusses the recent work in image based hoi detection. first, the mainstream datasets involved in hoi relationship detection are introduced.

Human Object Interaction Detection Via Disentangled Transformer Human object interaction (hoi) detection aims at localizing human object pairs and recognizing their interactions, i.e., detecting the triplets in an image. In this paper, we develop mp hoi, a powerful multi modal prompt based hoi detector designed to leverage both textual descriptions for open set generalization and visual exemplars for handling high ambiguity in descrip tions, realizing hoi detection in the open world. Consequently, human object interaction (hoi) detection has emerged as a key technology in the field of computer vision. hoi detection aims to accurately locate humans and objects in images or videos and recognize the corresponding interaction categories to better understand human activities. Human–object interaction (hoi) detection aims at the identification of relationships between humans and objects through the leveraging of outputs from preliminary object detection processes applied to images.

Human Object Interaction Detection Download Scientific Diagram Consequently, human object interaction (hoi) detection has emerged as a key technology in the field of computer vision. hoi detection aims to accurately locate humans and objects in images or videos and recognize the corresponding interaction categories to better understand human activities. Human–object interaction (hoi) detection aims at the identification of relationships between humans and objects through the leveraging of outputs from preliminary object detection processes applied to images. Human object interaction (hoi) detection aims to comprehend the intricate relationships between humans and objects, predicting triplets, and serving as the foundation for numerous computer vision tasks. Human object interaction (hoi) detection aims to detect and recognise how people interact with the objects that surround them. this is challenging as different interaction categories are often distinguished only by very subtle visual differences in the scene. Human object interaction (hoi) detection aims to jointly localize humans and objects that have interactions in static images. for example, the person and snowboard in fig. 3. it provides structured interpretations of the semantics of visual scenes going beyond mere object recognition or detection. Detecting human object in teraction (hoi) is a class of visual relationship detection where the task is to not only localize both a human and an object but also infer the relationship between them, such as “eating an apple” or “driving a car”.

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WACV18: Learning to Detect Human-Object Interactions

WACV18: Learning to Detect Human-Object Interactions

WACV18: Learning to Detect Human-Object Interactions HOTR: End-to-End Human-Object Interaction Detection with Transformers Learning Human-Object Interaction Detection Using Interaction Points ECCV2020: Visual Compositional Learning for Human-Object Interaction Detection WACV18: Scaling Human-Object Interaction Recognition through Zero-Shot Learning CVPR 2022 Paper: Efficient 2-Stage Detection of Human-Object Interactions (Zhang et al.) Introduction to Human Object Interaction [CVPR 2023] Relational Context Learning for Human-Object Interaction Detection [ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection Distillation of Human Object Interaction Contexts for Action Recognition UCF Human object Interaction HI 1152 - Detecting Human-Object Interaction with Mixed Supervision Hybrid Deep Learning Vision-based Models for Human Object Interaction Detection Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory Learning a Generative Model for Multi-Step Human–Object Interactions from Videos Detailed 2D-3D Joint Representation for Human-Object Interaction Video for CVPR'23 paper: Visibility aware human object interaction tracking from single RGB camera [ECCV 2020] Amplifying Key Cues for Human-Object-Interaction Detection [BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection

Conclusion

To bring this to a close, our exploration of Human Object Interaction Detection has revealed a range of key takeaways and potential impacts. From novice to expert, we trust that this content has equipped you with the necessary understanding to approach this topic confidently.

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