GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
IEEE

Uncertainty Co-Estimator for Improving Semi-Supervised Medical Image Segmentation

Abstract: Recently, combining the strategy of consistency regularization with uncertainty estimation has shown promising performance on semi-supervised medical image segmentation tasks. However, most ...
9to5google

How to use Google Gemini’s built-in AI image detection tool

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...
IEEE

Efficient JPEG-AI Image Coding for Remote Sensing Semantic Segmentation

Abstract: Efficient image compression is crucial for remote sensing (RS) satellite systems, as it determines the performance of machine vision applications analyzing the downlinked image data at ...
The Verge

Google’s Nano Banana AI image model goes Pro and is free to try

The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...