Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
IEEE

Adaptability of Vision Foundation Models for 3D Medical Image Segmentation

Abstract: Vision Foundation Models (VFMs), such as DINOv2 and SAM, have demonstrated unprecedented generalizability in natural imaging and show strong promise in medical imaging due to their ...
Frontiers

Enhanced stem cell image segmentation by leveraging visual processing mechanisms

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
GitHub

VLM Object Detection and Segmentation Pipeline

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
C&EN

Computer Vision-Assisted Data Analysis for Correlative Electron Microscopy and Secondary Ion Mass Spectrometry Imaging

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...
Scientific Research Publishing

Wirth, M. and Stapinski, A. (2004) A segmentation of the breast region in mammograms using snakes. Proceedings of the 1st Canadian Conference on Computer and Robot Vision ...

ABSTRACT: Contour is an important pattern descriptor in image processing and particularly in region description, registration and length estimation. In many applications where contour is used, a good ...
marktechpost

Meta AI Just Released DINOv3: A State-of-the-Art Computer Vision Model Trained with Self-Supervised Learning, Generating High-Resolution Image Features

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...
Scientific Research Publishing

Liu, S., Qi, L., Qin, H., Shi, J. and Jia, J. (2018) Path Aggregation Network for Instance Segmentation. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.