Artificial Intelligence Medical Compendium

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

Showing 19,401 to 19,410 of 214,800 articles

Large-Small Model Collaboration for Farmland Semantic Change Detection

arXiv May 12, 2026
Farmland Semantic Change Detection (SCD) is essential for cultivated land protection, yet existing benchmarks and models remain insufficient for fine-grained farmland conversion monitoring. Current datasets often lack dedicated "from-to" annotations,... read more 
Computer Vision and Pattern Recognition

Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation

arXiv May 12, 2026
While recent advancements in multimodal language models have enabled image generation from expressive multi-image instructions, existing methods struggle to maintain performance under complex interleaved instructions. This limitation stems from the s... read more 
Computer Vision and Pattern Recognition

G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models

arXiv May 12, 2026
The development of separate-encoder Unified multimodal models (UMMs) comes with a rapidly growing inference cost due to dense visual token processing. In this paper, we focus on understanding-side visual token reduction for improving the efficiency o... read more 
Computer Vision and Pattern Recognition

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

arXiv May 12, 2026
Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonoscopy applications, from polyp characterization to automated reporting and retrieval. Supervised contrastive learning is an effective approach for learni... read more 
Computer Vision and Pattern Recognition

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records

arXiv May 12, 2026
Electronic Health Records (EHR) contain rich longitudinal patient information and are widely used in predictive modeling applications. However, effectively leveraging historical data remains challenging due to long trajectories, heterogeneous events,... read more 
Information Retrieval cs.AI cs.LG

Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models

arXiv May 12, 2026
Visual latent reasoning lets a multimodal large language model (MLLM) create intermediate visual evidence as continuous tokens, avoiding external tools or image generators. However, existing methods usually follow an output-as-input latent paradigm a... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Fast Image Super-Resolution via Consistency Rectified Flow

arXiv May 12, 2026
Diffusion models (DMs) have demonstrated remarkable success in real-world image super-resolution (SR), yet their reliance on time-consuming multi-step sampling largely hinders their practical applications. While recent efforts have introduced few- or... read more 
Computer Vision and Pattern Recognition

SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation

arXiv May 12, 2026
Segmenting small and sparse structures in large-scale images is fundamentally constrained by voxel-level, lattice-bound computation and extreme class imbalance -- dense, full-resolution inference scales poorly and forces most pipelines to rely on fix... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning

arXiv May 12, 2026
We present a novel method for extracting moving objects from TESS data using machine learning. Our approach uses two stacked 3D U-Nets with skip connections, which we call a W-Net, to filter background and identify pixels containing moving objects in... read more 
Earth and Planetary Astrophysics astro-ph.SR cs.LG

GeoQuery: Geometry-Query Diffusion for Sparse-View Reconstruction

arXiv May 12, 2026
3D Gaussian Splatting (3DGS) has emerged as a prominent paradigm for 3D reconstruction and novel view synthesis. However, it remains vulnerable to severe artifacts when trained under sparse-view constraints. While recent methods attempt to rectify ar... read more 
Computer Vision and Pattern Recognition
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