2025 Poster "domain generalization" Papers
28 papers found
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic et al.
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
Fuyuan CAO, Shichang Qiao, Kui Yu et al.
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Xiran Wang, Jian Zhang, Lei Qi et al.
Continuous Domain Generalization
Zekun CAI, Yiheng YAO, Guangji Bai et al.
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
Zequn Zeng, Yudi Su, Jianqiao Sun et al.
Exploiting Domain Properties in Language-Driven Domain Generalization for Semantic Segmentation
Seogkyu Jeon, Kibeom Hong, Hyeran Byun
Federated Domain Generalization with Data-free On-server Matching Gradient
Binh Nguyen, Minh-Duong Nguyen, Jinsun Park et al.
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
Weihao Bo, Yanpeng Sun, Yu Wang et al.
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
Woosung Koh, Wonbeen Oh, Siyeol Kim et al.
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter et al.
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Boyong He, Yuxiang Ji, Qianwen Ye et al.
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
Vaibhav Rathore, Divyam Gupta, Biplab Banerjee
Is Large-scale Pretraining the Secret to Good Domain Generalization?
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis et al.
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Christopher Liao, Christian So, Theodoros Tsiligkaridis et al.
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
Luyao Tang, Chaoqi Chen, Yuxuan Yuan et al.
Solving Instance Detection from an Open-World Perspective
Qianqian Shen, Yunhan Zhao, Nahyun Kwon et al.
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
Siyu Chen, Ting Han, Changshe Zhang et al.
Sufficient Invariant Learning for Distribution Shift
Taero Kim, Subeen Park, Sungjun Lim et al.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
Dongyoon Yang, Jihu Lee, Yongdai Kim
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
Xingguo Lv, Xingbo Dong, Liwen Wang et al.
Towards Generalizable Scene Change Detection
Jae-Woo KIM, Ue-Hwan Kim
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao et al.
Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
Yubin Wang, Zhikang Zou, Xiaoqing Ye et al.
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
Silin Cheng, Kai Han