Artificial Intelligence Medical Compendium

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

Showing 611 to 620 of 213,137 articles

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens

arXiv Jul 20, 2026
Foundation models such as Segment Anything Model 2 (SAM2) have transformed natural-image and video segmentation, and recent work has begun adapting them to medical imaging. These adaptations, however, are largely general-purpose models that treat MRI... read more 
Computer Vision and Pattern Recognition

Benchmarking NACTI Species Recognition in Long-Tailed Regimes

arXiv Jul 20, 2026
As with most ``in the wild'' collections of the natural world, the North America Camera Trap Images (NACTI) dataset exhibits long-tailed class imbalance, with the largest class covering over 50% of its 3.7M images. Building on the PyTorch Wildlife mo... read more 
Computer Vision and Pattern Recognition

When 2D Cues Fail: Improving Image Manipulation Localization with Reliable 3D Geometry

arXiv Jul 20, 2026
Existing image manipulation localization (IML) methods rely heavily on 2D forensic cues, such as low-level artifacts, noise traces, and semantic inconsistencies in the manipulated image. While effective in many cases, these cues become much less disc... read more 
Computer Vision and Pattern Recognition

Anticipate Before Acting: Future-State-Conditioned Vision-Language Navigation

arXiv Jul 20, 2026
End-to-end vision-language navigation (VLN) with causal vision-language models can map instructions and egocentric observations directly to actions, but standard behavior cloning supervises only the next action and does not explicitly train the polic... read more 
Computer Vision and Pattern Recognition cs.AI

SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis

arXiv Jul 20, 2026
Graphical User Interface (GUI) agents powered by vision-language models hold promise for automating real-world mobile tasks. However, progress is limited by the lack of high-coverage, long-horizon interaction trajectories collected from element-rich ... read more 
Machine Learning

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
Popular Topics
Recent Journals