facebookresearch/Detectron: papers linking to it

GitHub · 26,343 stars · 5,375 forks · Python · license Apache-2.0 · created 2017 · archived · github.com/facebookresearch/Detectron

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to facebookresearch/Detectron (https://github.com/facebookresearch/Detectron), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

12 papers in the tracked journals link to the GitHub repository facebookresearch/Detectron in their Crossref records, the first in 2019; most of them (5) in 2021.
By category: AI (11) and Operations Research (1); the journals with the most are International Journal of Computer Vision (5), Applied Intelligence (3) and Transportation Research Part E Logistics and Transportation Review (1).

By year#

20192026

Papers linking to facebookresearch/Detectron by publication year
Year	Papers
2019	1
2020	3
2021	5
2022	1
2023	1
2026	1

Journals#

Journals whose papers link to facebookresearch/Detectron most
Journal	Papers
International Journal of Computer Vision	5
Applied Intelligence	3
Transportation Research Part E Logistics and Transportation Review	1
Expert Systems with Applications	1
Neural Computing and Applications	1

Papers linking to facebookresearch/Detectron, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-04-19	Polysemy Deciphering Network for Robust Human–Object Interaction Detection	International Journal of Computer Vision	Xubin Zhong, Changxing Ding, Xian Qu et al.	60	cites it
2020-02-18	Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild	International Journal of Computer Vision	Yongqiang Zhang, Yancheng Bai, Mingli Ding et al.	49	cites it
2021-02-12	Spatial–Temporal Relation Reasoning for Action Prediction in Videos	International Journal of Computer Vision	Xinxiao Wu, Ruiqi Wang, Jingyi Hou et al.	33	cites it
2021-05-14	Data augmentation for thermal infrared object detection with cascade pyramid generative adversarial network	Applied Intelligence	Xuerui Dai, Xue Yuan, Xueye Wei	27	cites it
2021-05-07	Product demand estimation for vending machines using video surveillance data: A group-lasso method	Transportation Research Part E Logistics and Transportation Review	Xiaohui Ding, Caihua Chen, Chongshou Li et al.	10	cites it
2022-05-10	Residual objectness for imbalance reduction	Pattern Recognition	Joya Chen, Dong Liu, Bin Luo et al.	8	cites it
2023-12-16	Multi-view and multi-augmentation for self-supervised visual representation learning	Applied Intelligence	Van Nhiem Tran, Chi-En Huang, Shen-Hsuan Liu et al.	7	cites it
2019-12-09	SSN: Learning Sparse Switchable Normalization via SparsestMax	International Journal of Computer Vision	Wenqi Shao, Jingyu Li, Jiamin Ren et al.	5	cites it
2020-10-10	Learning region-guided scale-aware feature selection for object detection	Neural Computing and Applications	Liu Liu, Rujing Wang, Chengjun Xie et al.	4	cites it
2020-07-02	Dynamic prioritization of surveillance video data in real-time automated detection systems	Expert Systems with Applications	James A. D. Cameron, Mary E. Kaye, Erik Scheme	3	cites it
2021-01-04	Consistent scale normalization for object perception	Applied Intelligence	Zewen He, He Huang, Yudong Wu et al.	2	cites it
2026-02-26	Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective	International Journal of Computer Vision	Zeen Song, Wenwen Qiang, Changwen Zheng et al.	2	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). facebookresearch/Detectron: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-detectron

@misc{scholar4ai-code-github-facebookresearch-detectron,
  author = {{Scholar4AI}},
  title = {facebookresearch/Detectron: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-facebookresearch-detectron}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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