Action Anticipation Using Pairwise Human-Object Interactions and Transformers

The ability to anticipate future actions of humans is useful in application areas such as automated driving, robot-assisted manufacturing, and smart homes. These applications require representing and anticipating human actions involving the use of objects. Existing methods that use human-object inte...

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Veröffentlicht in:	IEEE transactions on image processing 2021, Vol.30, p.8116-8129
Hauptverfasser:	Roy, Debaditya, Fernando, Basura
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional codes Cross correlation Datasets Feature extraction Image motion analysis image representation Image sequence analysis Object detection object recognition Predictive models Representations Salads Smart buildings Transformers Visualization
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