[CFP] CVPR Workshop on Image Matching: Local Features and Beyond 2026

CVPR Workshop on Image Matching: Local Features and Beyond 2026

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 [email protected].

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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