---
title: "facebookresearch/maskrcnn-benchmark: papers citing it"
description: "10 papers in the tracked journals link to the GitHub repository facebookresearch/maskrcnn-benchmark in their Crossref records, the first in 2019; most of them (4) in 2021."
url: https://scholar4ai.com/code/github-facebookresearch-maskrcnn-benchmark
markdown_url: https://scholar4ai.com/code/github-facebookresearch-maskrcnn-benchmark.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "10 papers in the tracked journals link to the GitHub repository facebookresearch/maskrcnn-benchmark in their Crossref records, the first in 2019; most of them (4) 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/maskrcnn-benchmark: papers linking to it

Research papers in the 480 tracked journals that link to facebookresearch/maskrcnn-benchmark (https://github.com/facebookresearch/maskrcnn-benchmark), 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
- 9,360 stars
- 2,447 forks
- Python
- license MIT
- created 2018
- archived
- https://github.com/facebookresearch/maskrcnn-benchmark

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

## Key findings

- 10 papers in the tracked journals link to the GitHub repository facebookresearch/maskrcnn-benchmark in their Crossref records, the first in 2019; most of them (4) in 2021.
- By category: AI (10); the journals with the most are International Journal of Computer Vision (4), Pattern Recognition (3) and Applied Intelligence (2).

## By year

*Papers linking to facebookresearch/maskrcnn-benchmark by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 4 |
| 2022 | 2 |
| 2023 | 1 |
| 2024 | 1 |

## Journals

*Journals whose papers link to facebookresearch/maskrcnn-benchmark most*

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 4 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 3 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

*Papers linking to facebookresearch/maskrcnn-benchmark, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-05-24 | [OCNet: Object Context for Semantic Segmentation](https://doi.org/10.1007/s11263-021-01465-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yuhui Yuan, Lang Huang, Jianyuan Guo et al. | 259 | cites it |
| 2019-08-07 | [Traffic flow estimation with data from a video surveillance camera](https://doi.org/10.1186/s40537-019-0234-z) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Aleksandr Fedorov, Kseniia Yu. Nikolskaia, Sergey A. Ivanov et al. | 149 | cites it |
| 2022-10-02 | [Delving Deeper into Anti-Aliasing in ConvNets](https://doi.org/10.1007/s11263-022-01672-y) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xueyan Zou, Fanyi Xiao, Zhiding Yu et al. | 93 | cites it |
| 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 |
| 2020-04-02 | [Graph-based neural networks for explainable image privacy inference](https://doi.org/10.1016/j.patcog.2020.107360) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Guang Yang, Juan Cao, Zhineng Chen et al. | 47 | cites it |
| 2021-03-25 | [Recognition of visual-related non-driving activities using a dual-camera monitoring system](https://doi.org/10.1016/j.patcog.2021.107955) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Lichao Yang, Kuo Dong, Yan Ding et al. | 23 | cites it |
| 2024-02-22 | [Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation](https://doi.org/10.1007/s11263-024-02004-y) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jianan Fan, Dongnan Liu, Hang Chang et al. | 13 | 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 |
| 2021-10-23 | [Detection-by-tracking of traffic signs in videos](https://doi.org/10.1007/s10489-021-02838-w) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Yanting Zhang, Zijian Wang, Ruoning Song et al. | 7 | cites it |
| 2023-10-31 | [A broader study of cross-domain few-shot object detection](https://doi.org/10.1007/s10489-023-05082-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Liangbing Sa, Chongchong Yu, Zhaorui Hong et al. | 6 | 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/maskrcnn-benchmark: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-maskrcnn-benchmark

```bibtex
@misc{scholar4ai-code-github-facebookresearch-maskrcnn-benchmark,
  author = {{Scholar4AI}},
  title = {facebookresearch/maskrcnn-benchmark: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-facebookresearch-maskrcnn-benchmark}},
  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/).