fittar/visually_grounded_embeddings

Visually Grounded embeddings for Fast-text and GloVe This repository contains multiple visually grounded word embedding models. All of these embeddings have been effectively infused with visual information from images. They have been proven to show stronger correlations (compared to textual embeddings) to human judgments on various word similarities and relatedness benchmarks. Usage All of the models are encoded in gensim format. Loading the model: import gensim… See the full description on the dataset page: https://huggingface.co/datasets/fittar/visually_grounded_embeddings.