Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Abstract: High spatial resolution (HSR) image scene classification is currently a research hotspot, aiming to assign semantic labels based on visual information. However, many scene classification ...

Create a simple image classification system using PyTorch. This project is specifically designed for beginners with no prior coding experience and will guide you through each step with detailed ...