---
title: "open-mmlab/mmsegmentation: papers citing it"
description: "31 papers in the tracked journals link to the GitHub repository open-mmlab/mmsegmentation in their Crossref records, the first in 2022; most of them (9) in 2025."
url: https://scholar4ai.com/code/github-open-mmlab-mmsegmentation
markdown_url: https://scholar4ai.com/code/github-open-mmlab-mmsegmentation.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "31 papers in the tracked journals link to the GitHub repository open-mmlab/mmsegmentation in their Crossref records, the first in 2022; most of them (9) in 2025. (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)
---

# open-mmlab/mmsegmentation: papers linking to it

Research papers in the 480 tracked journals that link to open-mmlab/mmsegmentation (https://github.com/open-mmlab/mmsegmentation), 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
- 9,987 stars
- 2,860 forks
- Python
- license Apache-2.0
- created 2020
- https://github.com/open-mmlab/mmsegmentation

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

## Key findings

- 31 papers in the tracked journals link to the GitHub repository open-mmlab/mmsegmentation in their Crossref records, the first in 2022; most of them (9) in 2025.
- By category: AI (31); the journals with the most are International Journal of Computer Vision (16), Pattern Recognition (5) and Expert Systems with Applications (2).
- 2 of the papers build on one another: a later paper cites an earlier one that also links open-mmlab/mmsegmentation.

## By year

*Papers linking to open-mmlab/mmsegmentation by publication year*

| Year | Papers |
|---|---:|
| 2022 | 5 |
| 2023 | 5 |
| 2024 | 5 |
| 2025 | 9 |
| 2026 | 7 |

## Journals

*Journals whose papers link to open-mmlab/mmsegmentation most*

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 16 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 5 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond](https://doi.org/10.1007/s11263-022-01739-w) (International Journal of Computer Vision, 2023)
  - [InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation](https://doi.org/10.1007/s11263-024-02296-0) (International Journal of Computer Vision, 2024) — cites the paper above

## Papers

*Papers linking to open-mmlab/mmsegmentation, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-01-12 | [ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond](https://doi.org/10.1007/s11263-022-01739-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Qiming Zhang, Yufei Xu, Jing Zhang et al. | 278 | cites it |
| 2022-05-25 | [A Survey on Long-Tailed Visual Recognition](https://doi.org/10.1007/s11263-022-01622-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Lu Yang, He Jiang, Qing Song et al. | 169 | cites it |
| 2022-11-28 | [Automated lesion segmentation in fundus images with many-to-many reassembly of features](https://doi.org/10.1016/j.patcog.2022.109191) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Qing Liu, Haotian Liu, Wei Ke et al. | 55 | cites it |
| 2023-10-27 | [SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers](https://doi.org/10.1007/s11263-023-01894-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Bowen Zhang, Liyang Liu, Vu Minh Hieu Phan et al. | 54 | cites it |
| 2022-12-14 | [ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation](https://doi.org/10.1016/j.patcog.2022.109257) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Xiu Shu, Yunyun Yang, Jun Liu et al. | 52 | cites it |
| 2024-07-16 | [Vision Transformers: From Semantic Segmentation to Dense Prediction](https://doi.org/10.1007/s11263-024-02173-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Li Zhang, Jiachen Lu, Sixiao Zheng et al. | 23 | cites it |
| 2022-11-11 | [Rethinking Local and Global Feature Representation for Dense Prediction](https://doi.org/10.1016/j.patcog.2022.109168) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Mohan Chen, Zhang Li, Rui Feng et al. | 21 | cites it |
| 2024-11-16 | [Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation](https://doi.org/10.1007/s11263-024-02285-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Haochen Wang, Yujun Shen, Jingjing Fei et al. | 12 | cites it |
| 2026-04-18 | [Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark](https://doi.org/10.1007/s11263-026-02809-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jiangning Zhang, Chengjie Wang, Xiangtai Li et al. | 11 | cites it |
| 2022-08-12 | [Improving Image Segmentation with Boundary Patch Refinement](https://doi.org/10.1007/s11263-022-01662-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xiaolin Hu, Chufeng Tang, Hang Chen et al. | 10 | cites it |
| 2023-06-09 | [What Limits the Performance of Local Self-attention?](https://doi.org/10.1007/s11263-023-01813-x) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jingkai Zhou, Pichao Wang, Jiasheng Tang et al. | 9 | cites it |
| 2023-12-27 | [Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach](https://doi.org/10.1007/s00521-023-09343-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Rui Yang, Honghong Yang, Min Zhao et al. | 9 | cites it |
| 2023-09-07 | [Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization](https://doi.org/10.1007/s11263-023-01878-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yumeng Li, Dan Zhang, Margret Keuper et al. | 8 | cites it |
| 2025-03-17 | [Not All Pixels are Equal: Learning Pixel Hardness for Semantic Segmentation](https://doi.org/10.1007/s11263-025-02416-4) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xin Xiao, Daiguo Zhou, Jiagao Hu et al. | 7 | cites it |
| 2024-08-16 | [Masked Channel Modeling for Bootstrapping Visual Pre-training](https://doi.org/10.1007/s11263-024-02204-6) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yang Liu, Xinlong Wang, Muzhi Zhu et al. | 6 | cites it |
| 2024-07-30 | [Equiangular Basis Vectors: A Novel Paradigm for Classification Tasks](https://doi.org/10.1007/s11263-024-02189-2) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yang Shen, Xuhao Sun, Xiu-Shen Wei et al. | 4 | cites it |
| 2024-12-11 | [InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation](https://doi.org/10.1007/s11263-024-02296-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yulin Wang, Zanlin Ni, Yifan Pu et al. | 4 | cites it |
| 2025-11-16 | [PVMNet: A navel orange defect detection algorithm based on Mamba structure](https://doi.org/10.1016/j.eswa.2025.130412) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Youwen Huang, Wei Wang | 4 | cites it |
| 2025-08-18 | [SSRDepth: Combining semantic segmentation and relative depth for monocular metric depth estimation](https://doi.org/10.1016/j.patcog.2025.112279) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Yuhang Zou, Xiaoming Chen, Zhangyan Zhao et al. | 3 | cites it |
| 2025-02-04 | [WLKA-RVS: a retinal vessel segmentation method using weighted large kernel attention](https://doi.org/10.1007/s10489-025-06309-4) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jiayao Li, Min Zeng, Chenxi Wu et al. | 2 | cites it |
| 2026-04-27 | [Cross-dataset evaluation of visual semantic segmentation models for off-road autonomous driving](https://doi.org/10.1016/j.eswa.2026.132656) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | David Pascual-Hernández, Sergio Paniego, Roberto Calvo-Palomino et al. | 2 | cites it |
| 2025-11-22 | [QWNet: A quaternion wavelet network for spatial-frequency aware multi-modal image fusion](https://doi.org/10.1016/j.neunet.2025.108364) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Jietao Yang, Miaoshan Lin, Guoheng Huang et al. | 1 | cites it |
| 2025-12-05 | [MPN: Multi-task proposal network](https://doi.org/10.1016/j.knosys.2025.115032) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Xiaoming Chen, Zhangyan Zhao, Jingjing Cao et al. | 1 | cites it |
| 2026-01-20 | [Beyond efficient fine-tuning: Efficient hybrid fine-tuning of CLIP models guided by explainable ViT attention](https://doi.org/10.1016/j.ipm.2026.104628) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Hui Ye, Xuri Ge, Junqi Wang et al. | 1 | cites it |
| 2026-02-26 | [MGFNet: Meta Global Filter Network for multi-size image feature extraction](https://doi.org/10.1007/s11263-025-02603-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Hong Zhang, Jiaxu Wan, Jianbo Song et al. | 1 | cites it |
| 2025-07-18 | [Towards Balanced Representation Learning with Semantic Anchor Regularization](https://doi.org/10.1007/s11263-025-02519-y) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Chengjie Wang, Qiang Nie, Ying Chen et al. | 0 | cites it |
| 2025-10-01 | [Semantic segmentation in power grid scenarios using scale-transforming transformer](https://doi.org/10.1007/s10489-025-06883-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Wenjie Pan, Linhan Huang, Yutao Chen et al. | 0 | cites it |
| 2025-11-05 | [Enhancing local attention with global information interaction via progressive cluster propagation](https://doi.org/10.1016/j.patcog.2025.112713) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Jingfan Hang, Xianqiang Yang | 0 | cites it |
| 2026-03-06 | [AEMIM: Adversarial Examples Meet Masked Image Modeling](https://doi.org/10.1007/s11263-026-02741-2) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Wenzhao Xiang, Chang Liu, Hang Su et al. | 0 | cites it |
| 2026-03-11 | [SCADA: Sparse cross attention for domain adaptive semantic segmentation](https://doi.org/10.1016/j.neunet.2026.108826) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Qizhe Fan, Xiaoqin Shen, Yuanbo Chen et al. | 0 | cites it |
| 2026-04-25 | [Mult-Pool Self Attention: a lightweight attention with linear complexity](https://doi.org/10.1016/j.knosys.2026.116082) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Seyed Mohammad Hatefi, Hossein Mahvash Mohammadi, Hamidreza Baradaran Kashani | 0 | 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). open-mmlab/mmsegmentation: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmsegmentation

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