Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Meshed-Memory Transformer for Image Captioning. CVPR 2020

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

awesome grounding: A curated list of research papers in visual grounding

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

📸 Generates hashtags for Instagram posts. Upload your photo and it will suggest the relevant #hashtags for you. 🏷️

Adds SPICE metric to coco-caption evaluation server codes

Semantic Propositional Image Caption Evaluation

Learning to ground explanations of affect for visual art.

A simple implementation of neural image caption generator

CaMEL: Mean Teacher Learning for Image Captioning. ICPR 2022

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

EMNLP 2018. Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani, Taylor Berg-Kirkpatrick.

Deep CNN-LSTM for Generating Image Descriptions 😈

Aid for blinds. This AI will describe the surrounding, it will tell who is in front of him (if that person is a known person to AI using Facial Recognition) and it will also help him to know what is written (Optical Character Recognition)

A tool for downloading from public image boards (which allow scraping) / preview your images & tags / edit your images & tags. Additional tabs for downloading other desired code repositories as well as S.O.T.A. diffusion and auto-tag/caption models for your purposes. Custom datasets can be added!