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Deep neural networks with attention mechanism for monocular depth estimation on embedded devices

Research article (Future Generation Computer Systems, 2022) · cited 11× · AI/ML
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Deep neural networks with attention mechanism for monocular depth estimation on embedded devices

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Deep neural networks with attention mechanism for monocular depth estimation on embedded devices is a scholarly article[1].

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  • Deep neural networks with attention mechanism for monocular depth estimation on embedded devices's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep neural networks with attention mechanism for monocular depth estimation on embedded devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-networks-with-attention-mechanism-for-monocular-depth-estimation-on-embedded-devices
MLA “Deep neural networks with attention mechanism for monocular depth estimation on embedded devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-networks-with-attention-mechanism-for-monocular-depth-estimation-on-embedded-devices.
BibTeX @misc{4ortxyz_deep-neural-networks-with-attention-mechanism-for-monocular-depth-estimation-on-embedded-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural networks with attention mechanism for monocular depth estimation on embedded devices}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-networks-with-attention-mechanism-for-monocular-depth-estimation-on-embedded-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural networks with attention mechanism for monocular depth estimation on embedded devices — https://4ort.xyz/entity/deep-neural-networks-with-attention-mechanism-for-monocular-depth-estimation-on-embedded-devices (retrieved 2026-05-24)

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