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A real-time multi-class multi-object tracker using YOLOv2

Research article (2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2017) · cited 23× · AI/ML
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A real-time multi-class multi-object tracker using YOLOv2

Summary

A real-time multi-class multi-object tracker using YOLOv2 is a scholarly article[1].

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  • A real-time multi-class multi-object tracker using YOLOv2'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). A real-time multi-class multi-object tracker using YOLOv2. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-real-time-multi-class-multi-object-tracker-using-yolov2
MLA “A real-time multi-class multi-object tracker using YOLOv2.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-real-time-multi-class-multi-object-tracker-using-yolov2.
BibTeX @misc{4ortxyz_a-real-time-multi-class-multi-object-tracker-using-yolov2_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A real-time multi-class multi-object tracker using YOLOv2}}, year = {2026}, url = {https://4ort.xyz/entity/a-real-time-multi-class-multi-object-tracker-using-yolov2}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A real-time multi-class multi-object tracker using YOLOv2 — https://4ort.xyz/entity/a-real-time-multi-class-multi-object-tracker-using-yolov2 (retrieved 2026-05-24)

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