Interactivity recognition graph neural network (IR-GNN) model for improving human-object interaction detection
Human–object interaction (HOI) detection is important for promoting the development of many fields such as human–computer interactions, service robotics, and video security surveillance. A high percentage of human–object pairs with invalid interactions are discovered in the object detection phase of...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/106602/1/ZuriahatiMohdYunos2023_InteractivityRecognitionGraphNeuralNetwork.pdf http://eprints.utm.my/106602/ http://dx.doi.org/10.3390/electronics12020470 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |