Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
Data annotation—labeling text, images, and video for training—is central to A.I. Grok maker xAI is shifting from generalists to domain experts.
Abstract: Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and ...
When Hanna Wallach first started testing machine learning models, the tasks were well-defined and easy to evaluate. Did the model correctly identify the cats in an image? Did it accurately predict the ...
Abstract: Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of the DML methods for CBIR rely on a high number of annotated ...
Code repository for our paper "Annotation-free Salient Object Detection via Spatial-enhanced Contrastive Learning and SAM" in ICIC 2025 .
An AI professional, web-based system for converting Piping and Instrumentation Diagrams (P&ID) from PDF/Image formats into structured, machine-readable data using advanced computer vision and AI ...