2025 "unsupervised domain adaptation" Papers

15 papers found

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.

ICLR 2025posterarXiv:2410.03461
3
citations

BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation

Yujia Chen, Rui Sun, Wangkai Li et al.

NEURIPS 2025poster

Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation

Mingyang Liu, Xinyang Chen, Xiucheng Li et al.

NEURIPS 2025oral

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation

Jungsoo Lee, Debasmit Das, Munawar Hayat et al.

CVPR 2025posterarXiv:2503.18244
3
citations

Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation

Yuyang Huang, Yabo Chen, Junyu Zhou et al.

NEURIPS 2025posterarXiv:2510.25279

Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation

Xin Ma, Yifan Wang, Siyu Yi et al.

NEURIPS 2025poster

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation

HAN SUN, Rui Gong, Ismail Nejjar et al.

ICLR 2025posterarXiv:2501.16410
1
citations

GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset

Zhiwei Zhang, Zi Ye, Yibin Wen et al.

NEURIPS 2025posterarXiv:2507.14697
1
citations

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition

Wen Yin, Yong Wang, Guiduo Duan et al.

CVPR 2025posterarXiv:2505.19694
9
citations

Learning to Zoom with Anatomical Relations for Medical Structure Detection

Bin Pu, Liwen Wang, Xingbo Dong et al.

NEURIPS 2025poster

Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation

Peihua Deng, Jiehua Zhang, Xichun Sheng et al.

CVPR 2025posterarXiv:2411.16064
8
citations

Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap

Christopher Liao, Christian So, Theodoros Tsiligkaridis et al.

ICLR 2025posterarXiv:2402.04416
1
citations

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting

Wei Lin, Chenyang ZHAO, Antoni B. Chan

CVPR 2025highlightarXiv:2505.21943
4
citations

Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation

Yihong Cao, Jiaming Zhang, Xu Zheng et al.

ICCV 2025posterarXiv:2506.21198
2
citations

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling

Haoran Li, Xingjian Li, Jiahua Shi et al.

AAAI 2025paperarXiv:2406.18610
3
citations