Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 40,161 to 40,170 of 223,737 articles

Efficiency Follows Global-Local Decoupling

arXiv Mar 20, 2026
Modern vision models must capture image-level context without sacrificing local detail while remaining computationally affordable. We revisit this tradeoff and advance a simple principle: decouple the roles of global reasoning and local representatio... read more 
Computer Vision and Pattern Recognition

Accelerating Diffusion Decoders via Multi-Scale Sampling and One-Step Distillation

arXiv Mar 20, 2026
Image tokenization plays a central role in modern generative modeling by mapping visual inputs into compact representations that serve as an intermediate signal between pixels and generative models. Diffusion-based decoders have recently been adopted... read more 
Computer Vision and Pattern Recognition

MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-Generation

arXiv Mar 20, 2026
Open-world semantic segmentation presently relies significantly on extensive image-text pair datasets, which often suffer from a lack of fine-grained pixel annotations on sufficient categories. The acquisition of such data is rendered economically pr... read more 
Computer Vision and Pattern Recognition

HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge

arXiv Mar 20, 2026
We present a new and accurate approach for gaze estimation on consumer computing devices. We take advantage of continued strides in the quality of user-facing cameras found in e.g., smartphones, laptops, and desktops - 4K or greater in high-end devic... read more 
Human-Computer Interaction cs.CV

FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement

arXiv Mar 20, 2026
Fine-grained anomaly detection is crucial in industrial and medical applications, but labeled anomalies are often scarce, making zero-shot detection challenging. While vision-language models like CLIP offer promising solutions, they struggle with for... read more 
Computer Vision and Pattern Recognition cs.AI

LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment

arXiv Mar 20, 2026
We present LoD-Loc v3, a novel method for generalized aerial visual localization in dense urban environments. While prior work LoD-Loc v2 achieves localization through semantic building silhouette alignment with low-detail city models, it suffers fro... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

UniPR: Unified Object-level Real-to-Sim Perception and Reconstruction from a Single Stereo Pair

arXiv Mar 20, 2026
Perceiving and reconstructing objects from images are critical for real-to-sim transfer tasks, which are widely used in the robotics community. Existing methods rely on multiple submodules such as detection, segmentation, shape reconstruction, and po... read more 
Computer Vision and Pattern Recognition

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement

arXiv Mar 20, 2026
Multimodal image registration is a fundamental task and a prerequisite for downstream cross-modal analysis. Despite recent progress in shared feature extraction and multi-scale architectures, two key limitations remain. First, some methods use disent... read more 
Computer Vision and Pattern Recognition

OmniDiT: Extending Diffusion Transformer to Omni-VTON Framework

arXiv Mar 20, 2026
Despite the rapid advancement of Virtual Try-On (VTON) and Try-Off (VTOFF) technologies, existing VTON methods face challenges with fine-grained detail preservation, generalization to complex scenes, complicated pipeline, and efficient inference. To ... read more 
Computer Vision and Pattern Recognition cs.AI

GravCal: Single-Image Calibration of IMU Gravity Priors with Per-Sample Confidence

arXiv Mar 20, 2026
Gravity estimation is fundamental to visual-inertial perception, augmented reality, and robotics, yet gravity priors from IMUs are often unreliable under linear acceleration, vibration, and transient motion. Existing methods often estimate gravity di... read more 
Computer Vision and Pattern Recognition
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