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IEEE2y
Transformer-based Sparse Encoder and Answer Decoder for Visual Question Answering - IEEE Xplore
Visual Question Answering (VQA) is all about understanding images and questions. Existing Transformer-based methods achieve excellent performance by associating questions with image region objects and ...
IEEE1y
Dual Encoder–Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach - IEEE Xplore
In this article, we propose a self-supervised transformer based dual encoder–decoder architecture named P-SwinNet for polyps segmentation in colonoscopy images. The P-SwinNet adapts the dual ...
GitHub8mon
Transformer Encoder-Decoder Model — C++ Implementation
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 ...
Microsoft launches Mu, an ultra-fast on-device AI model for Copilot+ PCs
Microsoft’s Mu model is designed to bring lightning-fast AI interactions to your fingertips, without ever needing to touch ...
GitHub1y
ChatBot using Transformer Encoder-Decoder Model - GitHub
This project aims to create a chatbot using the Transformer encoder-decoder model, based on the groundbreaking "Attention Is All You Need" paper. The Transformer architecture has revolutionized ...