What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions

Author:

Iftekhar A S M1,Chen Hao2,Kundu Kaustav2,Li Xinyu2,Tighe Joseph2,Modolo Davide2

Affiliation:

1. University of California,Santa Barbara

2. AWS AI Labs

Publisher

IEEE

Reference58 articles.

1. Learning human-object interactions by graph parsing neural networks;qi;Proceedings of the European Conference on Computer Vision (ECCV),0

2. Learning to Predict Visual Attributes in the Wild

3. Amplifying key cues for human-object-interaction detection;liu;European Conference on Computer Vision,0

4. PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection

5. Transferable Interactiveness Knowledge for Human-Object Interaction Detection

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3. Prompt guidance query with cascaded constraint decoders for human–object interaction detection;IET Computer Vision;2024-03-29

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