This repository explores multiple deep learning pipelines (Pix2Pix, improved GAN variants) to synthesize CT images from MRI scans, with a focus on clinical-quality reconstruction and robust evaluation ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan ...

Abstract: Imaging sonar, as an efficient sensor for underwater observation and measurement, plays a very important role in the positioning and mapping of autonomous underwater vehicles (AUVs).

An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating ...

Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...

Abstract: This research focuses on the multi-frame quality compensation coding method based on H.266/VVC. By leveraging technologies such as optical flow algorithms and convolutional neural networks, ...