ResNet-34 is a 34 layer deep convolutional neural network that ... we used pretrained ResNet for the encoder/down sampling section of the U-Net SegNet is a deep encoder-decoder architecture for ...

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. The proposed framework begins with ...

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 ...