The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

This is your go-to playground for training Vision Transformers (ViT) and its related models on CIFAR-10/CIFAR-100, a common benchmark dataset in computer vision. The whole codebase is implemented in ...

Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG’s ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...