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LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network

Research article (2024 International Joint Conference on Neural Networks (IJCNN), 2024) · cited 60× · AI/ML
academia openalex:W4402351971
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LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network

Summary

LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network is a scholarly article[1].

Key Facts

  • LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network'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). LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/lr-fpn-enhancing-remote-sensing-object-detection-with-location-refined-feature-pyramid-network
MLA “LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lr-fpn-enhancing-remote-sensing-object-detection-with-location-refined-feature-pyramid-network.
BibTeX @misc{4ortxyz_lr-fpn-enhancing-remote-sensing-object-detection-with-location-refined-feature-pyramid-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network}}, year = {2026}, url = {https://4ort.xyz/entity/lr-fpn-enhancing-remote-sensing-object-detection-with-location-refined-feature-pyramid-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network — https://4ort.xyz/entity/lr-fpn-enhancing-remote-sensing-object-detection-with-location-refined-feature-pyramid-network (retrieved 2026-05-24)

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