domain shift

Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics MIDL 2026 Anatomical Domain Shifts: Test-time Heterogeneous Adaptation for 3D Human Pose Prediction CVPR 2026 Anomaly-Related Residual Fields for Cross-domain Anomaly Detection CVPR 2026 Beyond the Static World: Continual Category Discovery under Visual Drift CVPR 2026 Beyond Tokens: Concept-Level Training Objectives for LLMs EACL 2026 Boosting Vision-Language Models Towards Cross-Domain Incremental Object Detection CVPR 2026 CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026 CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection CVPR 2026 CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation CVPR 2026 DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations MIDL 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 DK-DDIL: Adaptive Knowledge Retention for Dynamic Domain-Incremental Learning in Medical Imaging CVPR 2026 Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Experience with Single Domain Generalization in Real World Medical Imaging Deployments AAAI 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 Few-Shot Hybrid Incremental Learning:Continually Learning under Data Scarcity and Task Uncertainty CVPR 2026 Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection CVPR 2026 Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation CVPR 2026 HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated code SemEval 2026 Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving AAAI 2026 LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs CVPR 2026