Abstract: We present an adaptation of 3D Gaussian splatting for 2D grayscale image modeling using gradient descent optimization. Images are approximated as a sum of localized 2D Gaussian primitives, ...

If you're looking for the material for a specific conference tutorial, navigate to the notebooks directory and look for a subdirectory for the conference you're interested. For example, notebooks/ODSC ...

Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

A comprehensive repository for fine-tuning the Donut model for document image classification and parsing tasks. This project provides optimized training pipelines using Hugging Face Transformers with ...