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SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation
Compared with manual design, Neural Architecture Search (NAS) realizes better segmentation results due to larger search space and automatic optimization, but most of the existing methods are weak in layer-wise feature aggregation and adopt a ``strong encoder, weak decoder" structure, insufficient to handle global relationships and local details.
A Global to Local Double Embedding Method for Multi-person Pose Estimation
Both of the two types of methods involve two stages, namely, person detection and joints detection.
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