Call for Papers DG-EBF • CVPR 2026

CALL FOR PAPERS

The field of Domain Generalization (DG) is vital for addressing domain shifts in critical real-world applications such as healthcare, autonomous driving, and environmental monitoring, where the variability of conditions is both frequent and unpredictable. Despite considerable progress, much of the existing research in DG remains limited to relatively simple scenarios—often confined to single tasks, single modalities, and straightforward domain shifts within closed-world environments.

This narrow scope overlooks the complexities inherent in real deployments, which frequently involve multi-modal inputs, a variety of tasks, innovative neural architectures, extreme environmental conditions, and severe resource constraints. Our workshop, Domain Generalization: Evolution, Breakthroughs, and Future Horizons, aims to map the trajectory of DG from its foundational breakthroughs to the next frontiers.

We will explore how DG can evolve to handle the nuanced challenges of modern applications, fostering a dialogue that encourages innovative research approaches and cross-disciplinary collaborations. By providing a platform for discussing both current advancements and future directions, our workshop seeks to catalyze new ideas and methodologies that will significantly extend the robustness and applicability of DG to more complex and diverse real-world conditions.

POTENTIAL TOPICS:

Expanding Domain Generalization Beyond Classification and Images: Exploring domain generalization in more complex tasks like object detection and visual question answering (VQA), extending beyond static images to video, and from 2D to 3D vision tasks such as monocular depth estimation.
Tackling Extreme Shifts and Long-tail Events: Addressing the challenges posed by extreme distribution shifts and long-tail events, which are difficult to represent in large datasets, aiming to enhance robustness in unpredictable scenarios.
Integrating Domain Generalization with Model Calibration: Proposing a combined approach to domain generalization and model calibration to improve robustness and reliability across varied real-world applications.
Generalizing Multimodal Models Across Domains: Investigating how multimodal models, especially vision-language models, perform across different domains and assessing the impact of domain shifts on one or more modalities.
Domain Generalization in Open-World Settings: Developing methods that enable models to adaptively recognize and classify new, unseen classes in varying environments.
Enhancing Multitask Model Generalization: Improving the domain generalization capabilities of multitask models, balancing sensitivity to domain shifts across different tasks.
Domain Generalization Beyond Natural Images and Supervised Settings: Exploring domain generalization in specialized applications such as remote sensing and medical imaging, where domain shifts are prevalent and labeled data is scarce.

Accepted papers will be presented at the poster session, some as orals and one paper will be awarded as the best paper.

The best paper prize money of 750 USD will be sponsored by AWL Inc Japan.

SUBMISSION GUIDELINES:

We accept two submission tracks: Archival (Long Papers, up to 8 pages, excluding references) and Non-Archival (Short Papers up to 4 pages, excluding references, and CVPR 2026 Dual Submissions).
We accept dual submissions to CVPR 2026 and Domain Generalization: Evolution , Breakthroughs and Future Horizon workshop (2nd Edition).
Submitted manuscript should follow the CVPR 2026 paper template.
Submissions will be rejected without review if they:
1. Exceed the page limit for the selected track (Archival: 8 pages; Non-Archival: 4 pages; both excluding references).
2. Violate the double-blind policy.
3. Violate the dual-submission policy for papers with more than 4 pages excluding references.
Archival track papers will be included in the official CVPR proceedings.
Non-archival track papers (Short Papers and CVPR 2026 Dual Submissions) will be linked on the workshop webpage and will not be included in the official proceedings.
Supplementary material is allowed for both archival and non-archival tracks.
Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system.

PAPER TRACKS:

Archival Track

Length: Up to 8 pages (excluding references)
Supplementary: Allowed
Proceedings: Included in official CVPR proceedings
Scope: Full research contributions

Non-Archival Track

Short Papers

Length: Up to 4 pages (excluding references)
Supplementary: Allowed
Proceedings: Not included in official proceedings; linked on the workshop webpage
Scope: Work-in-progress and preliminary results

CVPR 2026 Dual Submission

Format: CVPR format (no separate page limit)
Supplementary: Allowed
Proceedings: Not included in official proceedings; linked on the workshop webpage
Scope: Papers accepted at CVPR 2026

CALL FOR PAPERS

POTENTIAL TOPICS:

SUBMISSION GUIDELINES:

PAPER TRACKS:

Archival Track

Non-Archival Track

Short Papers

CVPR 2026 Dual Submission

IMPORTANT DATES:

Proceeding / Archival Track

Non-Archival Track