Abstract: Information representation enhancement in synthetic aperture radar images is highly debated in remote sensing literature. In the past, the most credited solutions were based on traditional ...
Semantic segmentation is a critical task in computer vision, involving the classification of each pixel in an image into predefined categories. This project aims to perform semantic segmentation using ...
The Satellite-to-Map GAN project showcases the power of deep learning in transforming satellite images into realistic map-like representations. This repository contains an implementation of a Pix2Pix ...
Abstract: Extracting strokes from calligraphy characters is a key challenge in preserving traditional Chinese calligraphy digitally. In this paper, we propose a new method of stroke extraction using ...
If we are discussing technology today, you can’t ignore trending topics like Generative AI and large language models (LLMs) that power AI chatbots. Following the release of ChatGPT by OpenAI, the race ...
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