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Workshop Thu, Jun 12, 2025 • 11:00 AM – 3:00 PM PDT

Domain Generalization: Evolution, Breakthroughs, and Future Horizons

Muhammad Haris Khan · Biplab Banerjee

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Abstract

Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)

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Schedule

Timezone: America/Los_Angeles

T-SAM: Transductive Learning for Segment Anything Model Paper

Rangel Daroya · Deepak Chandran · Subhransu Maji · Andrea Fanelli

Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning Paper

Yusaku Takama · Ning Ding · Tatsuya Yokota · Toru Tamaki

Improving Open-World Object Localization by Discovering Background Paper

Ashish Singh · Michael J. Jones · Kuan-Chuan Peng · Anoop Cherian · Moitreya Chatterjee · Erik G. Learned-Miller

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation Paper

Jia Wei · Xiaoqi Zhao · Jonghye Woo · Jinsong Ouyang · Georges El Fakhri · Qingyu Chen · Xiaofeng Liu

Domain Generalization through Attenuation of Domain-Specific Information Paper

Reiji Saito · Kazuhiro Hotta

Task-conditioned Ensemble of Expert Models for Continuous Learning Paper

Renu Sharma · Debasmita Pal · Arun Ross

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning Paper

Kristi Topollai · Anna Choromanska

MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model Paper

Rajat Sahay · Andreas Savakis

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models Paper

BEHRAJ KHAN · Rizwan Qureshi · M Nouman Durrani · Tahir Qasim Syed

ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation Paper

Syed Bilal Ahsan · Muhammad Ikhalas · Muhammad Muzamil Khan · Sana Ullah

PiCaZo: Pixel-Aligned Contrastive Learning for Zero-Shot Domain Adaptation Paper

Aniruddh Sikdar · Aniruddh Sikdar · Arya Kishor · Ishika Kadam · Suresh Sundaram

Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss Paper

Agil Aghasanli · Yi Li · Plamen Angelov

VISTA-CLIP: Visual Incremental Self-Tuned Adaptation for Efficient Continual Panoptic Segmentation Paper

Manjunath D · Shrikar Madhu · Aniruddh Sikdar · Suresh Sundaram

PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications Paper

Trisanth Srinivasan · Santosh Patapati

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning Paper

Xiaobing Yu · Jin Yang · Peijie Qiu · Xiao Wu · Xiaofeng Liu

IMC: A Benchmark for Invariant Learning under Multiple Causes Paper

Taero Kim · Seonggyun Lee · Joonseong Kang · Youngjun Choi · Wonsang Yun · Nicole Kim · Ziyu Chen · Lexing Xie · Kyungwoo Song

Domain Generalization for Semantic Segmentation: A Survey Paper

Manuel Schwonberg · Hanno Gottschalk