GithubHelp home page GithubHelp logo

image_caption_deepbilstm's Introduction

Image Captioning with Deep Bidirectional LSTM

We use encoder-decoder format with CNN + BiDirectional LSTM. Deep layers are stacked or have residual connections.

This is a partial implementation of the paper by Wang et al. published in 2018 in ACM Transactions on Multimedia Computing, Communications, and Applications.

In addition we perform analysis of various implementation details.

Note: This is a work in progress. I will explain the details in a separate blog post as well. This directory is public as the work is in progress. kindly offer your valuable suggestions, if possible.

image_caption_deepbilstm's People

Contributors

iamsulabh avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.