Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...

Abstract: Medical image segmentation is an important component of medical image analysis, allowing precise delineation of regions of interest for accurate diagnosis and treatment planning. Deep ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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.

Abstract: The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmentation, such ...