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detect-fake-with-fake

[ECCV 2024 TWYN Workshop] Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection

https://github.com/cvpaperchallenge/detect-fake-with-fake

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

[ECCV 2024 TWYN Workshop] Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection

Basic Info
  • Host: GitHub
  • Owner: cvpaperchallenge
  • License: mit
  • Language: Dockerfile
  • Default Branch: develop
  • Homepage:
  • Size: 18.6 KB
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection

Overview

This repository will contain the official code and resources for the "Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection" submission to the Trust What You learN (TWYN) Workshop 2024.

Coming Soon

We are currently working on finalizing the code. Please stay tuned for updates!

Owner

  • Name: cvpaper.challenge
  • Login: cvpaperchallenge
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you want to cite the framework, feel free to use this (but only if you loved it 😊)"
title: "Ascender"
abstract: "Ascender is a GitHub repository template for research projects using Python as a developing language."
date-released: 2022-10-26
authors:
  - family-names: "Fukuhara"
    given-names: "Yoshihiro"
  - family-names: "Kubotani"
    given-names: "Yoshiki"
  - name: "cvpaper.challenge XCCV group"
version: 0.1.3
doi: 10.5281/zenodo.7672842
license: "MIT"
url: "https://github.com/cvpaperchallenge/Ascender"

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Dependencies

.github/workflows/cache.yaml actions
  • actions/cache v4 composite
  • actions/checkout v4 composite
  • docker/bake-action v4 composite
  • docker/setup-buildx-action v3 composite
.github/workflows/lint-and-test.yaml actions
  • actions/cache v4 composite
  • actions/checkout v4 composite
  • docker/bake-action v4 composite
  • docker/setup-buildx-action v3 composite
environments/Dockerfile docker
  • ${BASE_IMAGE} latest build
poetry.lock pypi
  • colorama 0.4.6
  • coverage 7.5.0
  • exceptiongroup 1.2.1
  • importlib-metadata 7.1.0
  • iniconfig 2.0.0
  • linkify-it-py 2.0.3
  • markdown-it-py 3.0.0
  • mdformat 0.7.17
  • mdformat-footnote 0.1.1
  • mdformat-frontmatter 2.0.8
  • mdformat-gfm 0.3.6
  • mdformat-tables 0.4.1
  • mdit-py-plugins 0.4.0
  • mdurl 0.1.2
  • mypy 1.10.0
  • mypy-extensions 1.0.0
  • packaging 24.0
  • pluggy 1.5.0
  • pytest 8.1.2
  • pytest-cov 5.0.0
  • ruamel-yaml 0.18.6
  • ruamel-yaml-clib 0.2.8
  • ruff 0.4.2
  • tomli 2.0.1
  • typing-extensions 4.11.0
  • uc-micro-py 1.0.3
  • zipp 3.18.1
pyproject.toml pypi
  • mdformat-frontmatter ^2.0.8 develop
  • mdformat-gfm ^0.3.6 develop
  • mdformat_footnote ^0.1.1 develop
  • mypy ^1.10.0 develop
  • pytest-cov ^5.0.0 develop
  • ruff ^0.4.1 develop
  • python ^3.8