Artificial Intelligence Medical Compendium

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

Showing 9,991 to 10,000 of 208,614 articles

Receipt Replay OOD: A Small Benchmark for Screen Replay Detection Under Domain Shift

arXiv
Public datasets such as DLC-2021, SynID, and KID34K have significantly contributed to research on presentation attack detection for identity documents, including screen replay attacks. However, evaluation of out-of-domain (OOD) robustness remains ins... read more 

REVERSE: Reinforcing Evidence Verification and Search for Agentic Image geo-localization

arXiv
Image geo-localization aims to determine where a photograph was taken, a task that often requires more than recognizing visible landmarks. Human experts typically solve it through an iterative workflow: they inspect informative regions, form location... read more 

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction

arXiv
Accurate road segmentation from aerial imagery is fundamental to many geospatial applications. However, existing datasets often suffer from limited scene diversity, low semantic granularity, and poor structural continuity, restricting their generaliz... read more 

Privacy-Preserving Screening for Record Linkage

arXiv
In an era dominated by big data and machine learning, establishing valuable data collaboration has never been more critical. However, such collaborations must operate under regulatory and legal constraints. Two-party Privacy-Preserving Record Linkage... read more 

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation

arXiv
In this paper, we address the problem of detecting small, dense, and overlapping objects, a major challenge in computer vision. Our focus is on reviewing proposed methods based on deep learning supervised approaches. We provide a detailed comparison ... read more 

SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising

arXiv
In point clouds, noise directly perturbs point coordinates that encode both spatial location and geometry, making one-to-one correspondence construction more challenging than in images. Existing methods impose statistical mappings across noisy varian... read more 

Practical Anonymous Two-Party Gradient Boosting Decision Tree

arXiv
Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High speed and interpretability make GBDTs popular in finance and healthcare,... read more 

I2PRef: Image-Driven Point Completion with Iterative Refinement

arXiv
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image-to-Point (I2P) module that can reconstruct complete point clouds dire... read more 

Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking

arXiv
Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable progress, existing state-of-the-art unsupervised trackers often struggle ... read more 

Object Pose and Shape Estimation for Grasping: Does it Work?

arXiv
The problem of object pose and shape estimation has seen key advancements lately. Encoder-decoder (e.g., SAM3D, LRM, CRISP) and diffusion-based models (e.g., InstantMesh, Zero123, SceneComplete) have shown category-agnostic shape encoding capacity an... read more