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skJack avatar

skJack/LTW

0
View on GitHub↗
61 stars·4 forks·Python·8 views

LTW

This code belongs to the "Domain General Face Forgery Detection by Learning to Weight" Before run the code, you should run `` $ pip install -r requirements.txt ` first. This code is mainly focus on the GCD benchamrks, which contain three deepfake dataset: Faceforensics++,CELEB-DF,DFDC (version…

Features

  • Meta-Learning - Improves domain generalization by learning to weight training samples.

Star history

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How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with LTW

These projects share indexed features with LTW. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • chenhsuanlin/signed-distance-srnchenhsuanlin avatar

    chenhsuanlin/signed-distance-SRN

    129View on GitHub↗

    SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)

    Python
    View on GitHub↗129

Frequently asked questions

What does skjack/ltw do?

This code belongs to the "Domain General Face Forgery Detection by Learning to Weight" Before run the code, you should run ` $ pip install -r requirements.txt first. This code is mainly focus on the GCD benchamrks, which contain three deepfake dataset: Faceforensics++,CELEB-DF,DFDC (version…

What are the main features of skjack/ltw?

The main features of skjack/ltw are: Meta-Learning.

Which projects share features with skjack/ltw?

Projects with overlapping indexed features include: chenhsuanlin/signed-distance-srn — SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020).