Ophthalmology Times

Study finds mixed real and synthetic eye images enhance ocular AI performance

Four Roboflow/YOLOv8 instance-segmentation models differed only by training-set composition: 100 synthetic, 100 real, 100 ...
IEEE

Contour Detection and Hierarchical Image Segmentation

Abstract: This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. Our contour ...
IEEE

Image Segmentation Using Hierarchical Merge Tree

Abstract: This paper investigates one of the most fundamental computer vision problems: image segmentation. We propose a supervised hierarchical approach to object-independent image segmentation.
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
GitHub

VisioFirm: Fast Almost fully-Automated Image Annotation for Computer Vision

VisioFirm v1 is now available. VisioFirm has now much more support for computer vision annotation, pushing further the boundaries of efficient, fast, and accurate annotation. Here's what’s New in v1 ...
Nature

Automated image segmentation for accelerated nanoparticle characterization

Recent developments in materials science have made it possible to synthesize millions of individual nanoparticles on a chip. However, many steps in the characterization process still require extensive ...
GitHub

ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements [CVPRW 2025]

Abstract: Recent advances in foundational Vision Language Models (VLMs) have reshaped the evaluation paradigm in computer vision tasks. These foundational models, especially CLIP, have accelerated ...
LinkedIn

Computer Vision: Applications and Case Studies

Computer vision is a field of artificial intelligence that enables machines to interpret and make decisions based on visual data. By mimicking the human visual system, computer vision allows computers ...
Scientific Research Publishing

Single Tooth Segmentation on Panoramic X-Rays Using End-to-End Deep Neural Networks ()

1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.
LinkedIn

Data Annotation Techniques for Computer Vision: A Look at the Most Common Types

Computer vision is a technology for today and the future that is revolutionizing industries. Over the years, humans have developed many computer vision models that can interpret our visual world. We ...
Nature

Editor's Choice: Computer Vision

Computer vision, a branch of artificial intelligence, centers on training devices to recognize and perceive visual information. This field involves a variety of techniques to transform ...