Home ›
Entities
› academia
› A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection
A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection
Research article (2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2018) · cited 11× · AI/ML
A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection
Summary
A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection is a scholarly article[1].
Key Facts
A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-faster-r-cnn-based-high-normalization-sample-calibration-method-for-dense-subway-passenger-flow-detection