Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
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 ...
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 ...
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 topic in ...
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, ...
Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors - Dmitro72/Magic12345 ...
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