vision foundation model

A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning MIDL 2026 A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens CVPR 2026 AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors CVPR 2026 AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models CVPR 2026 BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models CVPR 2026 Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection AAAI 2026 Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization CVPR 2026 CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization CVPR 2026 Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation AAAI 2026 C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion CVPR 2026 Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models CVPR 2026 Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models CVPR 2026 DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval CVPR 2026 Expert-Teacher-Student Collaborative Learning for Domain Adaptive Object Detection CVPR 2026 Exploring Generalizable Remote Sensing Change Detection via Low-Rank Exchange Adaptation of Vision Foundation Model AAAI 2026 Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection CVPR 2026 Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning CVPR 2026 From 2D Alignment to 3D Plausibility: Unifying Heterogeneous 2D Priors and Penetration-Free Diffusion for Occlusion-Robust Two-Hand Reconstruction CVPR 2026 GeCo: Geometry-Consistent Regularization for Domain Generalized Semantic Segmentation CVPR 2026 Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation CVPR 2026 Harnessing the Power of Foundation Models for Accurate Material Classification CVPR 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026 INSID3: Training-Free In-Context Segmentation with DINOv3 CVPR 2026 LiteVGGT: Boosting Vanilla VGGT via Geometry-aware Cached Token Merging CVPR 2026 Morphe: High-Fidelity Generative Video Streaming with Vision Foundation Model NSDI 2026