GitHub

anushkundu/Animal-Image-Classification

Effective Deep Learning Approached for Animal Classification. The primary objective of this project was to develop a robust and accurate machine learning model for the classification of various animal ...
IEEE

Fine-Grained Image Classification by Class and Image-Specific Decomposition With Multiple Views

Abstract: Fine-grained image classification attempts to accurately classify images that are similar to each other. Multiview information is often used to improve the classification accuracy. Although ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Defining a Network

Multi-Class Classification Using PyTorch: Defining a Network Dr. James McCaffrey of Microsoft Research explains how to define a network in installment No. 2 of his four-part series that will present a ...
GitHub

ToineSayan/sequence-classification-with-bert

A constantly evolving document. Calculation of baselines for various datasets used in my NLP research and related projects. No hyperparameter optimization has been carried out to calculate these ...
IEEE

Class Incremental Learning With Large Domain Shift

Abstract: We address an important and practical problem facing deep-learning-based image classification: class incremental learning with a large domain shift. Most previous efforts on class ...