---
title: "facebookresearch/Detectron: papers citing it"
description: "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."
url: https://scholar4ai.com/code/github-facebookresearch-detectron
markdown_url: https://scholar4ai.com/code/github-facebookresearch-detectron.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# facebookresearch/Detectron: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 5 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 3 |
| [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s11263-021-01458-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1007/s11263-020-01301-6) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yongqiang Zhang, Yancheng Bai, Mingli Ding et al. | 49 | cites it |
| 2021-02-12 | [Spatial–Temporal Relation Reasoning for Action Prediction in Videos](https://doi.org/10.1007/s11263-020-01409-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1007/s10489-021-02445-9) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 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](https://doi.org/10.1016/j.tre.2021.102335) | [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | Xiaohui Ding, Caihua Chen, Chongshou Li et al. | 10 | cites it |
| 2022-05-10 | [Residual objectness for imbalance reduction](https://doi.org/10.1016/j.patcog.2022.108781) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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](https://doi.org/10.1007/s10489-023-05163-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Van Nhiem Tran, Chi-En Huang, Shen-Hsuan Liu et al. | 7 | cites it |
| 2019-12-09 | [SSN: Learning Sparse Switchable Normalization via SparsestMax](https://doi.org/10.1007/s11263-019-01269-y) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Wenqi Shao, Jingyu Li, Jiamin Ren et al. | 5 | cites it |
| 2020-10-10 | [Learning region-guided scale-aware feature selection for object detection](https://doi.org/10.1007/s00521-020-05400-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.eswa.2020.113672) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | James A. D. Cameron, Mary E. Kaye, Erik Scheme | 3 | cites it |
| 2021-01-04 | [Consistent scale normalization for object perception](https://doi.org/10.1007/s10489-020-02070-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Zewen He, He Huang, Yudong Wu et al. | 2 | cites it |
| 2026-02-26 | [Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective](https://doi.org/10.1007/s11263-026-02785-4) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).