Domain Generalization: Evolution, Breakthroughs, and Future Horizons

Workshop

Domain Generalization: Evolution, Breakthroughs, and Future Horizons

Muhammad Haris Khan · Biplab Banerjee

Thu 12 Jun 11 a.m. PDT — 3 p.m. PDT

[ Abstract ] Workshop Website

[ Project Page ]

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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Timezone: America/Los_Angeles

Schedule

-	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 ) > link Link	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 ) > link Link	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 🔗