Image Captioning based on Bottom-Up and Top-Down Attention model
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Updated
Jan 3, 2019 - Jupyter Notebook
Image Captioning based on Bottom-Up and Top-Down Attention model
Use the python script to select images contains person in the COCO。
A short jupyter notebook to train a Faster R-CNN object detection model with PyTorch v2 using the COCO data format
First-Prize winner in the Core Track of the 2022 OpenCV AI Competition
Microsoft COCO: Common Objects in Context for huggingface datasets
Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image St…
Python file to convert the exported output from labelbox to coco
Utilize deep learning models to automatically colorize grayscale images
An open-source Python library to improve your work with COCO datasets
An integrated web app that captions image and created with ReactJs and Python, with Pytorch
Modern Graph TensorFlow implementation of Super-Resolution GAN
IN5400 Mandatory exercise 2
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