In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...

In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture ... a feature fusion module based on ...

This project implements an encoder-decoder architecture using PyTorch to reconstruct images from the MNIST dataset. The model is trained to minimize the Mean Squared ...