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Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention

Research article (Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021) · cited 13× · AI/ML
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Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention

Summary

Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention is a scholarly article[1].

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  • Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-video-object-detection-systems-on-embedded-devices-under-resource-contention
MLA “Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-video-object-detection-systems-on-embedded-devices-under-resource-contention.
BibTeX @misc{4ortxyz_benchmarking-video-object-detection-systems-on-embedded-devices-under-resource-contention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-video-object-detection-systems-on-embedded-devices-under-resource-contention}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention — https://4ort.xyz/entity/benchmarking-video-object-detection-systems-on-embedded-devices-under-resource-contention (retrieved 2026-05-24)

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