Artificial Intelligence Medical Compendium

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

Showing 41,291 to 41,300 of 223,853 articles

Mixture of Style Experts for Diverse Image Stylization

arXiv Mar 17, 2026
Diffusion-based stylization has advanced significantly, yet existing methods are limited to color-driven transformations, neglecting complex semantics and material details.We introduce StyleExpert, a semantic-aware framework based on the Mixture of E... read more 
Computer Vision and Pattern Recognition

Efficient Brood Cell Detection in Layer Trap Nests for Bees and Wasps: Balancing Labeling Effort and Species Coverage

arXiv Mar 17, 2026
Monitoring cavity-nesting wild bees and wasps is vital for biodiversity research and conservation. Layer trap nests (LTNs) are emerging as a valuable tool to study the abundance and species richness of these insects, offering insights into their nest... read more 
Computer Vision and Pattern Recognition

HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models

arXiv Mar 17, 2026
Adapting large-scale Vision-Language Models (VLMs) like CLIP to downstream tasks often suffers from a "one-size-fits-all" architectural approach, where visual and textual tokens are processed uniformly by wide, generic adapters. We argue that this ho... read more 
Computer Vision and Pattern Recognition

Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization

arXiv Mar 17, 2026
While hyperspectral images (HSI) benefit from numerous spectral channels that provide rich information for classification, the increased dimensionality and sensor variability make them more sensitive to distributional discrepancies across domains, wh... read more 
Computer Vision and Pattern Recognition

Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation

arXiv Mar 17, 2026
Large vision-language models (LVLMs) have become increasingly strong but remain prone to hallucinations in multimodal tasks, which significantly narrows their deployment. As training these LVLMs to avoid hallucinations becomes prohibitively expensive... read more 
Computer Vision and Pattern Recognition cs.AI

$x^2$-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space

arXiv Mar 17, 2026
Estimating dense 2D optical flow and 3D scene flow is essential for dynamic scene understanding. Recent work combines images, LiDAR, and event data to jointly predict 2D and 3D motion, yet most approaches operate in separate heterogeneous feature spa... read more 
Computer Vision and Pattern Recognition

HMAR: Hierarchical Modality-Aware Expert and Dynamic Routing Medical Image Retrieval Architecture

arXiv Mar 17, 2026
Medical image retrieval (MIR) is a critical component of computer-aided diagnosis, yet existing systems suffer from three persistent limitations: uniform feature encoding that fails to account for the varying clinical importance of anatomical structu... read more 
Computer Vision and Pattern Recognition

vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots

arXiv Mar 17, 2026
Mobile robots are increasingly deployed for inspection, patrol, and search-and-rescue operations, relying on computer vision for perception, navigation, and autonomous decision-making. However, executing modern vision workloads onboard is challenging... read more 
Robotics cs.CV

Search2Motion: Training-Free Object-Level Motion Control via Attention-Consensus Search

arXiv Mar 17, 2026
We present Search2Motion, a training-free framework for object-level motion editing in image-to-video generation. Unlike prior methods requiring trajectories, bounding boxes, masks, or motion fields, Search2Motion adopts target-frame-based control, l... read more 
Computer Vision and Pattern Recognition

Search2Motion: Training-Free Object-Level Motion Control via Attention-Consensus Search

arXiv Mar 17, 2026
We present Search2Motion, a training-free framework for object-level motion editing in image-to-video generation. Unlike prior methods requiring trajectories, bounding boxes, masks, or motion fields, Search2Motion adopts target-frame-based control, l... read more 
Computer Vision and Pattern Recognition
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