Deep Attention Models for Human Tracking Using RGBD

Research article (Sensors, 2019) · cited 17× · AI/ML
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Deep Attention Models for Human Tracking Using RGBD

Summary

Deep Attention Models for Human Tracking Using RGBD is a scholarly article[1].

Key Facts

  • Deep Attention Models for Human Tracking Using RGBD's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Attention Models for Human Tracking Using RGBD. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-attention-models-for-human-tracking-using-rgbd
MLA “Deep Attention Models for Human Tracking Using RGBD.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-attention-models-for-human-tracking-using-rgbd.
BibTeX @misc{4ortxyz_deep-attention-models-for-human-tracking-using-rgbd_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Attention Models for Human Tracking Using RGBD}}, year = {2026}, url = {https://4ort.xyz/entity/deep-attention-models-for-human-tracking-using-rgbd}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Attention Models for Human Tracking Using RGBD — https://4ort.xyz/entity/deep-attention-models-for-human-tracking-using-rgbd (retrieved 2026-05-24)

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