The new AI-based graphics tool bridges the gap between perfect imaging of objects in lab environments and capturing messy ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
Abstract: Event cameras are novel bio-inspired sensors, where individual pixels operate independently and asynchronously, generating intensity changes as events. Leveraging the microsecond resolution ...
Abstract: Referring video object segmentation (RVOS) is an emerging task for multimodal video comprehension while the expensive annotating process of object masks restricts the scalability and ...
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