Code Monkey home page Code Monkey logo

domain-specific-semantics-guided-video-captioning's Introduction

Domain-specific semantics guided approach to video captioning

The code for the paper “Domain-Specific Semantics Guided Approach to Video Captioning”, WACV 2020.

Platform for working

  • Python 3.5
  • Keras built with tensorflow backend [Version 2.31]
  • Tensflow [Version 1.15.0]

Getting started

  • Resnet-152 and C3D Features are provided in the data folder
  • For semantic features we have provided Ground truth from SCN paper. You can train your own MLP to extract features
  • You can evaluate the model using MSCOCO pycocotools

Citation

Please cite our WACV paper if it helps your research:

@INPROCEEDINGS{Domain_vid_capt_wacv_2020,
author={M. {Hemalatha} and C. C. {Sekhar}},
booktitle={2020 IEEE Winter Conference on Applications of Computer Vision (WACV)},
title={Domain-Specific Semantics Guided Approach to Video Captioning},
year={2020},
pages={1576-1585}, }

domain-specific-semantics-guided-video-captioning's People

Contributors

hemalatha22 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.