Abstract: In this paper, we propose an encoder-decoder based deep convolutional network for semantic segmentation in autonomous driving scenarios. The architecture of the proposed model is based on ...

Image synthesis is a novel solution in precision medicine for scenarios where important medical imaging is not otherwise available. The convolutional neural network (CNN) is an ideal model for this ...

This repository contains an implementation of the Transformer Encoder-Decoder model from scratch in C++. The objective is to build a sequence-to-sequence model that leverages pre-trained word ...

To encode video, use python encoder.py. The encoder will load model from "./saved_model" folder, huffman codec will be saved in "./saved_model" folder, and the encoded residual will be saved as ...

This model is based on a fully convolutional auto-encoder and can be trained end-to-end. It consists of two parts: encoder and decoder. The encoder and decoder are composed of convolutional layer ...