Artificial Intelligence Medical Compendium

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

Showing 44,981 to 44,990 of 224,055 articles

Bridging Human Evaluation to Infrared and Visible Image Fusion

arXiv Mar 4, 2026
Infrared and visible image fusion (IVIF) integrates complementary modalities to enhance scene perception. Current methods predominantly focus on optimizing handcrafted losses and objective metrics, often resulting in fusion outcomes that do not align... read more 
Computer Vision and Pattern Recognition

Yolo-Key-6D: Single Stage Monocular 6D Pose Estimation with Keypoint Enhancements

arXiv Mar 4, 2026
Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extended reality applications. However, state-of-the-art multi stage methods often suffer from high latency, making them unsuitable for real time use. In th... read more 
Computer Vision and Pattern Recognition

Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks

arXiv Mar 4, 2026
Image aesthetic assessment (IAA) has extensive applications in content creation, album management, and recommendation systems, etc. In such applications, it is commonly needed to pick out the most aesthetically pleasing image from a series of images ... read more 
Computer Vision and Pattern Recognition

N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition

arXiv Mar 4, 2026
Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten text recognition, partly thanks to their auto-regressive decoder which implicitly learns a language model. However, such networks suffer from a large ... read more 
Computer Vision and Pattern Recognition

DISC: Dense Integrated Semantic Context for Large-Scale Open-Set Semantic Mapping

arXiv Mar 4, 2026
Open-set semantic mapping enables language-driven robotic perception, but current instance-centric approaches are bottlenecked by context-depriving and computationally expensive crop-based feature extraction. To overcome this fundamental limitation, ... read more 
Computer Vision and Pattern Recognition cs.RO

Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection

arXiv Mar 4, 2026
Multimodal industrial anomaly detection benefits from integrating RGB appearance with 3D surface geometry, yet existing \emph{unsupervised} approaches commonly rely on memory banks, teacher-student architectures, or fragile fusion schemes, limiting r... read more 
Computer Vision and Pattern Recognition cs.AI

Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection

arXiv Mar 4, 2026
Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast magnetic resonance imaging (MRI), however especially high b-value diffusion-weighted acquisitions can be prone to intensity artifacts that can affect diagnos... read more 
Computer Vision and Pattern Recognition

RVN-Bench: A Benchmark for Reactive Visual Navigation

arXiv Mar 4, 2026
Safe visual navigation is critical for indoor mobile robots operating in cluttered environments. Existing benchmarks, however, often neglect collisions or are designed for outdoor scenarios, making them unsuitable for indoor visual navigation. To add... read more 
Robotics cs.AI cs.CV

Towards Generalized Multimodal Homography Estimation

arXiv Mar 4, 2026
Supervised and unsupervised homography estimation methods depend on image pairs tailored to specific modalities to achieve high accuracy. However, their performance deteriorates substantially when applied to unseen modalities. To address this issue, ... read more 
Computer Vision and Pattern Recognition cs.AI

ProFound: A moderate-sized vision foundation model for multi-task prostate imaging

arXiv Mar 4, 2026
Many diagnostic and therapeutic clinical tasks for prostate cancer increasingly rely on multi-parametric MRI. Automating these tasks is challenging because they necessitate expert interpretations, which are difficult to scale to capitalise on modern ... read more 
Computer Vision and Pattern Recognition
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