Experiments on a public medical segmentation benchmark and a 3D optical coherence Doppler tomography (ODT) dataset show the effectiveness of our method. The code is publicly available at https://github.com/reckdk/SkelCompletion-3D .Ren, Jiaxiang...
Extensive experimental results show that our SSL achieves SOTA performance on four benchmark skeleton-based action recognition datasets. In our future work, we will build a multi-level feature re- finement module to identify ambiguous skeleton actions. Figure 5: (...
maintenance of skeletal mass. Beyond effects on osteoclasts, aged B cells have intrinsic effects on osteoblasts. While B cell-derived IL-10 and the chemokine CXCL13 typically stimulate bone formation, their diminished levels during B cell ageing may suppress osteoblast function. Additionally, a decrea...
While the first and last tools are generic in nature and could be applied to any gesture-matching scenario, the classifier is conceived based on the assumption that the input motion adheres to a known, canonical time-base: a musical beat. On a benchmark comprising 28 gesture classes, ...
The 3D Cu foil was utilized to investigate the plating behaviour of Li metal on a 3D current collector. The pristine Cu foil was also tested as an example of planar current collectors. On a planar current collector, Li is apt to firstly form small Li dendrites (0.1–0.5 μm in dia...
AT-GCN outperforms the original State-of-the-Art model on the NTU RGB+D, NTU RGB+D 120, and NW-UCLA datasets while maintaining the same inference time. AT-GCN shows the best performance on the NTU RGB+D dataset at 90.3% from subjects, 95.2 from view benchmarks, on the NTU RGB+D...
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AT-GCN outperforms the original State-of-the-Art model on the NTU RGB+D, NTU RGB+D 120, and NW-UCLA datasets while maintaining the same inference time. AT-GCN shows the best performance on the NTU RGB+D dataset at 90.3% from subjects, 95.2 from view benchmarks, on the ...
AT-GCN shows the best performance on the NTU RGB+D dataset at 90.3% from subjects, 95.2 from view benchmarks, on the NTU RGB+D 120 dataset at 86.5% from subjects, 87.6% from set benchmarks, and at 93.5% on the NW-UCLA dataset as top-1 accuracy.Jeong-Min Park...
AT-GCN outperforms the original State-of-the-Art model on the NTU RGB+D, NTU RGB+D 120, and NW-UCLA datasets while maintaining the same inference time. AT-GCN shows the best performance on the NTU RGB+D dataset at 90.3% from subjects, 95.2 from view benchmarks, on the NTU RGB+D...