[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
PyTorch Implementation of Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store
Source code for COMP90042 Project 2021
This project implements a Generalist Robotics Policy (GRP) using a Vision Transformer (ViT) architecture. The model is designed to process multiple input types, including images, text goals, and goal images, to generate continuous action outputs for robotic control.
Clasificación de imágenes y asignación de textos mediante redes neuronales convolucionales y transformers multimodales
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