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Found 2 papers, 0 papers with code
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
The efficacy of our network is verified from a collected dataset of 418 patients with 145 benign tumors and 273 malignant tumors.
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
It transmits the high-level semantic features to the low-level layers and flows temporal information stage by stage to progressively model global spatial-temporal features for action recognition; (3) The FGCN model provides early predictions.
Ranked #34 on
Skeleton Based Action Recognition
on NTU RGB+D 120
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