Artificial Intelligence Medical Compendium

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

Showing 56,641 to 56,650 of 226,846 articles

SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence

arXiv Jan 29, 2026
Current methods for converting circuit schematic images into machine-readable netlists struggle with component recognition and connectivity inference. In this paper, we present SINA, an open-source, fully automated circuit schematic image-to-netlist ... read more 
Computer Vision and Pattern Recognition cs.AI eess.SY

Value-Based Pre-Training with Downstream Feedback

arXiv Jan 29, 2026
Can a small amount of verified goal information steer the expensive self-supervised pretraining of foundation models? Standard pretraining optimizes a fixed proxy objective (e.g., next-token prediction), which can misallocate compute away from downst... read more 
Machine Learning cs.AI

RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation

arXiv Jan 29, 2026
In this paper, we propose a 3D asset-referenced diffusion model for image generation, exploring how to integrate 3D assets into image diffusion models. Existing reference-based image generation methods leverage large-scale pretrained diffusion models... read more 
Computer Vision and Pattern Recognition

Where Do the Joules Go? Diagnosing Inference Energy Consumption

arXiv Jan 29, 2026
Energy is now a critical ML computing resource. While measuring energy consumption and observing trends is a valuable first step, accurately understanding and diagnosing why those differences occur is crucial for optimization. To that end, we begin b... read more 
Machine Learning cs.DC

BLO-Inst: Bi-Level Optimization Based Alignment of YOLO and SAM for Robust Instance Segmentation

arXiv Jan 29, 2026
The Segment Anything Model has revolutionized image segmentation with its zero-shot capabilities, yet its reliance on manual prompts hinders fully automated deployment. While integrating object detectors as prompt generators offers a pathway to autom... read more 
Computer Vision and Pattern Recognition

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

arXiv Jan 29, 2026
Multimodal large language models (MLLMs) have achieved remarkable success across a broad range of vision tasks. However, constrained by the capacity of their internal world knowledge, prior work has proposed augmenting MLLMs by ``reasoning-then-tool-... read more 
Computer Vision and Pattern Recognition cs.AI

Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models

arXiv Jan 29, 2026
Decomposing complex data into factorized representations can reveal reusable components and enable synthesizing new samples via component recombination. We investigate this in the context of diffusion-based models that learn factorized latent spaces ... read more 
Computer Vision and Pattern Recognition cs.AI

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

arXiv Jan 29, 2026
Scaling has powered recent advances in vision foundation models, yet extending this paradigm to metric depth estimation remains challenging due to heterogeneous sensor noise, camera-dependent biases, and metric ambiguity in noisy cross-source 3D data... read more 
Computer Vision and Pattern Recognition cs.AI

PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction

arXiv Jan 29, 2026
Streaming reconstruction from monocular image sequences remains challenging, as existing methods typically favor either high-quality rendering or accurate geometry, but rarely both. We present PLANING, an efficient on-the-fly reconstruction framework... read more 
Computer Vision and Pattern Recognition

Urban Neural Surface Reconstruction from Constrained Sparse Aerial Imagery with 3D SAR Fusion

arXiv Jan 29, 2026
Neural surface reconstruction (NSR) has recently shown strong potential for urban 3D reconstruction from multi-view aerial imagery. However, existing NSR methods often suffer from geometric ambiguity and instability, particularly under sparse-view co... read more 
Computer Vision and Pattern Recognition
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