A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...

Inspired by the idea of deep learning, here we combine the autoencoder, deconvolution network, and shortcut connections into the residual encoder–decoder convolutional neural network (RED-CNN) for low ...

Many networks have utilized them in vision tasks such as super-resolution. However, the employment of convolutional neural networks (CNN) or transformers often results in considerable computational ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

benchmark tutorial deep-learning pytorch imagenet segmentation bilibili convolutional-neural-network cifar10 cvpr-2017 tensorrt pytorch-tutorial hsi fashion-mnist pytorch-cnn pytorch-implmention ...