open-mmlab/mmsegmentation: papers linking to it

GitHub · 9,987 stars · 2,860 forks · Python · license Apache-2.0 · created 2020 · github.com/open-mmlab/mmsegmentation

← Code and data repositories cited in research papers

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.

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#

20222026

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	16
Pattern Recognition	5
Expert Systems with Applications	2
Neural Networks	2
Knowledge-Based Systems	2

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond International Journal of Computer Vision, 2023
- InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation International Journal of Computer Vision, 2024 — cites the paper above

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	International Journal of Computer Vision	Qiming Zhang, Yufei Xu, Jing Zhang et al.	278	cites it
2022-05-25	A Survey on Long-Tailed Visual Recognition	International Journal of Computer Vision	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	Pattern Recognition	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	International Journal of Computer Vision	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	Pattern Recognition	Xiu Shu, Yunyun Yang, Jun Liu et al.	52	cites it
2024-07-16	Vision Transformers: From Semantic Segmentation to Dense Prediction	International Journal of Computer Vision	Li Zhang, Jiachen Lu, Sixiao Zheng et al.	23	cites it
2022-11-11	Rethinking Local and Global Feature Representation for Dense Prediction	Pattern Recognition	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	International Journal of Computer Vision	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	International Journal of Computer Vision	Jiangning Zhang, Chengjie Wang, Xiangtai Li et al.	11	cites it
2022-08-12	Improving Image Segmentation with Boundary Patch Refinement	International Journal of Computer Vision	Xiaolin Hu, Chufeng Tang, Hang Chen et al.	10	cites it
2023-06-09	What Limits the Performance of Local Self-attention?	International Journal of Computer Vision	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	Neural Computing and Applications	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	International Journal of Computer Vision	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	International Journal of Computer Vision	Xin Xiao, Daiguo Zhou, Jiagao Hu et al.	7	cites it
2024-08-16	Masked Channel Modeling for Bootstrapping Visual Pre-training	International Journal of Computer Vision	Yang Liu, Xinlong Wang, Muzhi Zhu et al.	6	cites it
2024-07-30	Equiangular Basis Vectors: A Novel Paradigm for Classification Tasks	International Journal of Computer Vision	Yang Shen, Xuhao Sun, Xiu-Shen Wei et al.	4	cites it
2024-12-11	InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation	International Journal of Computer Vision	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	Expert Systems with Applications	Youwen Huang, Wei Wang	4	cites it
2025-08-18	SSRDepth: Combining semantic segmentation and relative depth for monocular metric depth estimation	Pattern Recognition	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	Applied Intelligence	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	Expert Systems with Applications	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	Neural Networks	Jietao Yang, Miaoshan Lin, Guoheng Huang et al.	1	cites it
2025-12-05	MPN: Multi-task proposal network	Knowledge-Based Systems	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	Information Processing & Management	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	International Journal of Computer Vision	Hong Zhang, Jiaxu Wan, Jianbo Song et al.	1	cites it
2025-07-18	Towards Balanced Representation Learning with Semantic Anchor Regularization	International Journal of Computer Vision	Chengjie Wang, Qiang Nie, Ying Chen et al.	0	cites it
2025-10-01	Semantic segmentation in power grid scenarios using scale-transforming transformer	Applied Intelligence	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	Pattern Recognition	Jingfan Hang, Xianqiang Yang	0	cites it
2026-03-06	AEMIM: Adversarial Examples Meet Masked Image Modeling	International Journal of Computer Vision	Wenzhao Xiang, Chang Liu, Hang Su et al.	0	cites it
2026-03-11	SCADA: Sparse cross attention for domain adaptive semantic segmentation	Neural Networks	Qizhe Fan, Xiaoqin Shen, Yuanbo Chen et al.	0	cites it
2026-04-25	Mult-Pool Self Attention: a lightweight attention with linear complexity	Knowledge-Based Systems	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

@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}
}

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