Human-Object Interaction Detection
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Benchmarks
Most implemented
Temporal Relational Reasoning in Videos
Visual Compositional Learning for Human-Object Interaction Detection
HAKE: Human Activity Knowledge Engine
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Papers
ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection
Open-vocabulary human-object interaction (HOI) detection requires recognizing interaction phrases that may not appear as annotated categories during training. Recent vision-language HOI detectors improve semantic transfe…
Human-Object Interaction DetectionA Study of Failure Modes in Two-Stage Human-Object Interaction Detection
Human-object interaction (HOI) detection aims to detect interactions between humans and objects in images. While recent advances have improved performance on existing benchmarks, their evaluations mainly focus on overall…
Human-Object Interaction DetectionVisual ReasoningMining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to localize human-object pairs and classify their interactions from a single image, a task that demands strong visual understanding and nuanced contextual reasoning. Recent a…
Human-Object Interaction DetectionRegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection
Weakly-supervised Human-Object Interaction (HOI) detection is essential for scalable scene understanding, as it learns interactions from only image-level annotations. Due to the lack of localization signals, prior works …
Human-Object Interaction DetectionScene UnderstandingStreamlined Open-Vocabulary Human-Object Interaction Detection
Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing approaches usually rely on the collabora…
Human-Object Interaction DetectionENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios
Understanding human behavior from complementary egocentric (ego) and exocentric (exo) points of view enables the development of systems that can support workers in industrial environments and enhance their safety. Howeve…
Human-Object Interaction DetectionAction Segmentation