We are happy to announce the annual edition of the Image Matching
Workshop, co-located as every year with CVPR 2026. Our goal is to
encourage and highlight novel strategies for image matching that deviate
from and advance traditional formulations, with a focus on large-scale,
wide-baseline matching for 3D reconstruction and pose estimation.
Please refer to the following links for more information:
- Workshop website: https://image-matching-workshop.github.io
- Submission website: https://cmt3.research.microsoft.com/IMW2026
OPEN CHALLENGE
The workshop will once again feature an open challenge hosted on Kaggle.
This year's challenge extends the previous year one with the purpose of
serving as a reference dataset with a larger life span. Teams with best
submissions will be invited to present their solutions at the workshop.
- Challenge website:
https://www.kaggle.com/competitions/image-matching-challenge-2025-ongoing
SUBMISSION INSTRUCTIONS
We invite paper submissions up to 8 pages, excluding references and
acknowledgements. They should use the CVPR template (reviews are
double-blind, so please hide author data in the pdf) and be submitted to
the CMT site (linked above). Submissions must contain novel work and
will be indexed in IEEE Xplore/CVF. They will receive at least two
double-blind reviews.
We welcome PC self-nominations. If you're willing to review for the
workshop, please reach out at image-matching@googlegroups.com.
IMPORTANT DATES
- Paper submission deadline: March 16, 2026.
- Notification to authors: April 6, 2026.
- Camera-ready deadline: April 8, 2026 (hard deadline on April 11).
- Workshop date: TBC (June 3 or 4, 2026).
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