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

Abstract: Test-time medical image segmentation is a critical component in clinical practice, enabling pre-trained medical segmentation models to effectively adapt unseen medical samples with potential ...

Abstract: Medical image segmentation has made significant strides with the development of basic models. Specifically, models that combine CNNs with transformers can successfully extract both local and ...

The goal of the project is to inference a deep learning semantic segmentation model on a webcam video stream in Linux in order to remove background and provide a clean video stream with a person only.

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.

A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...