A neural network to generate captions for an image using CNN and RNN with BEAM Search.
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Updated
Oct 1, 2020 - Python
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
VisualGPT, CVPR 2022 Proceeding, GPT as a decoder for vision-language models
CLIPxGPT Captioner is Image Captioning Model based on OpenAI's CLIP and GPT-2.
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" Support python3.6, python3.7 TensorFlow1.8 TensorFlow1.12 TensorFlow1.13 TensorFlow1.14 numpy 1.12 or newer
pre-trained model and source code for generate description of images.
Image Captioning with Google‘s NIC For AI Challenger
End to End Deep learning model that generate image captions
[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.
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
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
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.
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