Artificial Intelligence Medical Compendium

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

Showing 261 to 270 of 212,780 articles

SAR Vessel Detection and Gross Tonnage Estimation from Heterogeneous Datasets for Dark Vessel Identification

arXiv Jul 20, 2026
Detecting vessels engaging in illegal activities is of paramount importance for maritime security. One of the major goals is to detect dark vessels, ships that disable their transponders to evade surveillance. Deep Learning (DL) models can detect ves... read more 
Computer Vision and Pattern Recognition

Co-addition and Subtraction of Undersampled Images

arXiv Jul 20, 2026
In astronomical imaging surveys, repeated observations of the same sky patches are taken in order to obtain deeper images and detect new sources. This is the case in the search for many transient phenomena, such as supernovae, gravitational wave (GW)... read more 
Instrumentation and Methods for Astrophysics astro-ph.HE cs.CV

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift

arXiv Jul 20, 2026
Generative models trained on a source domain often produce samples that are poorly aligned with shifted target domains, limiting their effectiveness for target-domain data augmentation. Although target-specific adaptation can reduce this mismatch, it... read more 
Machine Learning cs.AI

VGOcc: Learning Visual-Geometric Gaussians for Vision-Centric 3D Driving Occupancy Prediction

arXiv Jul 20, 2026
Vision-only occupancy prediction requires recovering a semantic 3D occupancy field from calibrated surround-view images, where each view provides observations with ambiguous depth along camera rays. Existing methods have progressed from dense structu... read more 
Computer Vision and Pattern Recognition

The Label Complexity of Class-Conditional Coverage under Distribution Shift

arXiv Jul 20, 2026
Standard evaluation of many recognition systems contains distribution shift by construction, since benchmarks place disjoint conditions in the training and test splits. Under such a shift, split conformal prediction keeps marginal coverage near the n... read more 
Machine Learning cs.CV

SciForma: Structure-Faithful Generation of Scientific Diagrams

arXiv Jul 20, 2026
Structural fidelity is essential to scientific methodology diagrams. To communicate research logic, these diagrams must faithfully render components, directional relations, and textual annotations. Since a single error, such as a reversed arrow or an... read more 
Computer Vision and Pattern Recognition cs.GR cs.LG

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

arXiv Jul 20, 2026
Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of conventional neural networks. We investigated Differentiable Logic Gate Networks (Diff-Logic) as a hardware-native alternative that compiles models into ... read more 
Machine Learning cs.AI

Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction

arXiv Jul 20, 2026
We present a novel Generalized Scene Reconstruction (GSR) approach called Plenoptic Condensation (PCon). PCon uses a multi-stage reconstruction pipeline, initially converting images into "soupy" scene elements with low (representational) power, then ... read more 
Computer Vision and Pattern Recognition

Three-Body Scattering for Generative Modeling

arXiv Jul 20, 2026
Modern generative models typically rely on an adversarial critic, a prescribed noise-to-data path, or an autoregressive factorization. Instead, we show that a proper distributional energy can induce sample-level motion and provide direct regression s... read more 
Machine Learning cs.CV

HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement

arXiv Jul 20, 2026
Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most approaches focusing on inter-subject personalization still struggle to st... read more 
Computer Vision and Pattern Recognition
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