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Deep Contextual Attention for Human-Object Interaction Detection
2019
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Human-object interaction detection is an important and relatively new class of visual relationship detection tasks, essential for deeper scene understanding. Most existing approaches decompose the problem into object localization and interaction recognition. Despite showing progress, these approaches only rely on the appearances of humans and objects and overlook the available context information, crucial for capturing subtle interactions between them. We propose a contextual attention
doi:10.1109/iccv.2019.00579
dblp:conf/iccv/WangAKKP0L19
fatcat:vyijo42s4zgcvnsx7p6ebs6zmy