Improve human pose in complex scenes by using intra- and inter-human relationships with I2R-Net
Improve human pose in complex scenes by using intra- and inter-human relationships with I2R-Net
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
arXiv paper abstract https://arxiv.org/abs/2206.10892v1
arXiv PDF paper https://arxiv.org/pdf/2206.10892v1.pdf
... present the Intra- and Inter-Human Relation Networks (I^2R-Net) for Multi-Person Pose Estimation. It involves two basic modules.
First, the Intra-Human Relation Module operates on a single person and aims to capture Intra-Human dependencies.
Second, the Inter-Human Relation Module considers the relation between multiple instances and focuses on capturing Inter-Human interactions.
The Inter-Human Relation Module can be designed very lightweight by reducing the resolution of feature map, yet learn useful relation information to significantly boost the performance of the Intra-Human Relation Module.
... conduct extensive experiments on COCO, CrowdPose, and OCHuman datasets.
... demonstrate that the proposed model surpasses all the state-of-the-art methods ...
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