Coder Social home page Coder Social logo

milvlg / rosita Goto Github PK

View Code? Open in Web Editor NEW
55.0 55.0 13.0 16.26 MB

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

License: Apache License 2.0

Python 99.11% Cython 0.54% Shell 0.35%
image-text-retrieval pre-training referring-expression-comprehension vision-and-language vqa

rosita's People

Contributors

mil-vlg avatar zoroaster97 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

rosita's Issues

accuracy on test split

Hi, Your article has a great idea, thank you for sharing it, and thank you for your open source code. It's really great and helpful.

I ran the finetuning code with "scripts/train-vqa-vqav2.sh", for "train+trainvalsplit of VQAv2" and I achieved the accuracy successfully.

But after that when I ran the code with "scripts/test-vqa-vqav2.sh" for "evaluation on the test split" it will run ok but doesn't show any result of accuracy as it was in "train-vqa".

Could you please help me with how can I see the result of accuracy for the test split too? I'm a beginner in python and don't know how to do it.

Thanks.

Naming error in the provided vqa2.0 files

There is a naming error in the provided vqa2.0 files in datasets.md.
The file names of the minival2014 files v2_mscoco_minival2014_annotations.json and v2_mscoco_minival2014_questions.json should be interchanged.

image
image

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.