image-matching-challenge-2022: papers linking to it

Kaggle · www.kaggle.com/competitions/image-matching-challenge-2022

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to image-matching-challenge-2022 (https://www.kaggle.com/competitions/image-matching-challenge-2022), 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#

3 papers in the tracked journals link to the Kaggle dataset image-matching-challenge-2022 in their Crossref records, the first in 2026; most of them (3) in 2026.
By category: AI (3); the journals with the most are International Journal of Computer Vision (3).

By year#

20262026

Papers linking to image-matching-challenge-2022 by publication year
Year	Papers
2026	3

Journals#

Journals whose papers link to image-matching-challenge-2022 most
Journal	Papers
International Journal of Computer Vision	3

Papers linking to image-matching-challenge-2022, most cited first
Published	Title	Journal	Authors	Link
2026-03-07	Unifying Viewgraph Sparsification and Disambiguation of Repeated Structures in Structure-from-Motion	International Journal of Computer Vision	Lalit Manam, Venu Madhav Govindu	cites it
2026-10-01	CLIDD: Cross-Layer Independent Deformable Description for Efficient and Discriminative Local Feature Representation	International Journal of Computer Vision	Haodi Yao, Fenghua He, Ning Hao et al.	cites it
2026-10-28	EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy	International Journal of Computer Vision	Haodi Yao, Fenghua He, Ning Hao et al.	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). image-matching-challenge-2022: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-image-matching-challenge-2022

@misc{scholar4ai-code-kaggle-competition-image-matching-challenge-2022,
  author = {{Scholar4AI}},
  title = {image-matching-challenge-2022: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-image-matching-challenge-2022}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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