chainer-caption
Image Captioner
An image caption generation system using a neural network architecture with pre-trained models.
image caption generation using chainer!
64 stars
7 watching
27 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An unsupervised image captioning framework that allows generating captions from images without paired data. | 215 |
| This implementation allows users to generate captions from images using a neural network model with visual attention. | 790 |
| An image caption generation system utilizing machine learning models and deep neural networks. | 84 |
| A PyTorch-based tool for generating captions from images | 128 |
| A deep learning model for generating image captions with semantic attention | 51 |
| An implementation of the fast R-CNN object detection algorithm using Chainer and OpenCV. | 43 |
| A deep learning framework providing a model architecture and training code for image captioning using semantic compositional networks | 70 |
| Trains image paragraph captioning models to generate diverse and accurate captions | 90 |
| A PyTorch implementation of a framework for generating captions with styles for images and videos. | 63 |
| An approach to image captioning that leverages the CLIP model and fine-tunes a language model without requiring additional supervision or object annotation. | 1,326 |
| An image caption generation model that uses abstract scene graphs to fine-grained control and generate captions | 200 |
| PyTorch implementation of video captioning, combining deep learning and computer vision techniques. | 402 |
| A PyTorch implementation of image captioning models via scene graph decomposition. | 96 |
| Automates the process of generating multiple rewritten image captions by fine-tuning large vision-language models | 8 |
| A project for pre-training models to support image captioning and question answering tasks. | 416 |