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Found 4 papers, 3 papers with code
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?
In this study, we investigate the effectiveness of synthetic data in enhancing egocentric hand-object interaction detection.
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios
ENIGMA-51 is a new egocentric dataset acquired in an industrial scenario by 19 subjects who followed instructions to complete the repair of electrical boards using industrial tools (e. g., electric screwdriver) and equipments (e. g., oscilloscope).
Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario
In this paper, we tackle the problem of Egocentric Human-Object Interaction (EHOI) detection in an industrial setting.
Egocentric Human-Object Interaction Detection Exploiting Synthetic Data
We consider the problem of detecting Egocentric HumanObject Interactions (EHOIs) in industrial contexts.
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