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Lightweight Monocular Depth Estimation via Token-Sharing Transformer
While most lightweight monocular depth estimation methods have been developed using convolution neural networks, the Transformer has been gradually utilized in monocular depth estimation recently.
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation
In addition, we propose a classification task to distinguish between normal and abnormal states of wearing a seat belt using results that combine 3D pose estimation with seat-belt segmentation.
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