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CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection

Research article (IEEE Transactions on Intelligent Transportation Systems, 2019) · cited 11× · AI/ML
academia openalex:W2974982301
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CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection

Summary

CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection is a scholarly article[1].

Key Facts

  • CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection'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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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/circlenet-reciprocating-feature-adaptation-for-robust-pedestrian-detection
MLA “CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/circlenet-reciprocating-feature-adaptation-for-robust-pedestrian-detection.
BibTeX @misc{4ortxyz_circlenet-reciprocating-feature-adaptation-for-robust-pedestrian-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection}}, year = {2026}, url = {https://4ort.xyz/entity/circlenet-reciprocating-feature-adaptation-for-robust-pedestrian-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection — https://4ort.xyz/entity/circlenet-reciprocating-feature-adaptation-for-robust-pedestrian-detection (retrieved 2026-05-24)

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