vision foundation model

All-in-One: Transferring Vision Foundation Models into Stereo Matching AAAI 2025 AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025 Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 A Vision Foundation Model for Cataract Surgery Using Joint-Embedding Predictive Architecture MIDL 2025 BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence CVPR 2025 Boosting Segment Anything Model Towards Open-Vocabulary Learning AAAI 2025 Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World IJCAI 2025 Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation ICCV 2025 Distillation of Diffusion Features for Semantic Correspondence WACV 2025 Diving into the Fusion of Monocular Priors for Generalized Stereo Matching ICCV 2025 Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays MIDL 2025 Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025 Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection ICCV 2025 Explore In-Context Segmentation via Latent Diffusion Models AAAI 2025 Exploring Task-Level Optimal Prompts for Visual In-Context Learning AAAI 2025 FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation CVPR 2025 FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection CoRL 2025 FoundationStereo: Zero-Shot Stereo Matching CVPR 2025 From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model AAAI 2025 Generative Medical Segmentation AAAI 2025 ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models CoRL 2025 Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline CVPR 2025 Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection CVPR 2025 Learning Precise Affordances from Egocentric Videos for Robotic Manipulation ICCV 2025