Pytorch Image-caption retrieval model
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Updated
Jul 10, 2020 - Python
Pytorch Image-caption retrieval model
BLIP-ImageCaption
A Mindspore Implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention".
A text generation library to paraphrase image captions using back translations or transfer learning.
PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
PyTorch implementation of image captioning based on attention mechanism
A Mindspore Implementation of paper "Show and Tell : Neural Image Caption Generation"
A simple toolkit to transform datasource generate by img2dataset from parquet file to Huggingface dataset.
Marshall: Modality-Agnostic Representation learning by SHAred pre-training of muLtiple modaLities
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Image Caption
This repository reimplements "Show, Attend and Tell" model and add extra deep learning techniques.
Image captioning project.
Image captioning model with Resnet50 encoder and LSTM decoder
This is an innovative project aimed at enhancing the visual experience for individuals with impairments. Leveraging machine learning and natural language processing, this repository houses the codebase for generating efficient and coherent natural language descriptions of captured images. The project integrates seamlessly with image recognition,
a py3 lib for NLP & image-caption metrics : BLEU METEOR CIDEr ROUGE SPICE WMD
[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.
End to End Deep learning model that generate image captions
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