A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data
Summary
A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data is a scholarly article[1].
Key Facts
A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-four-stream-convnet-based-on-spatial-and-depth-flow-for-human-action-classification-using-rgb-d-data
MLA“A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-four-stream-convnet-based-on-spatial-and-depth-flow-for-human-action-classification-using-rgb-d-data.
BibTeX@misc{4ortxyz_a-four-stream-convnet-based-on-spatial-and-depth-flow-for-human-action-classification-using-rgb-d-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data}}, year = {2026}, url = {https://4ort.xyz/entity/a-four-stream-convnet-based-on-spatial-and-depth-flow-for-human-action-classification-using-rgb-d-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data — https://4ort.xyz/entity/a-four-stream-convnet-based-on-spatial-and-depth-flow-for-human-action-classification-using-rgb-d-data (retrieved 2026-05-24)