ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]

Research article (IEEE Geoscience and Remote Sensing Magazine, 2020) · cited 58× · AI/ML
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ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]

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ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets] is a scholarly article[1].

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  • ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]. Retrieved May 24, 2026, from https://4ort.xyz/entity/era-a-data-set-and-deep-learning-benchmark-for-event-recognition-in-aerial-videos-software-and-data-sets
MLA “ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets].” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/era-a-data-set-and-deep-learning-benchmark-for-event-recognition-in-aerial-videos-software-and-data-sets.
BibTeX @misc{4ortxyz_era-a-data-set-and-deep-learning-benchmark-for-event-recognition-in-aerial-videos-software-and-data-sets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]}}, year = {2026}, url = {https://4ort.xyz/entity/era-a-data-set-and-deep-learning-benchmark-for-event-recognition-in-aerial-videos-software-and-data-sets}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets] — https://4ort.xyz/entity/era-a-data-set-and-deep-learning-benchmark-for-event-recognition-in-aerial-videos-software-and-data-sets (retrieved 2026-05-24)

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