Fake videos detection by tracing the source using video hashing retrieval.

Related tags

Deep Learningdeep-learningpytorchhashing-algorithmfake-video-detection
Overview

Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos 🎉️

📜 Directory

✨ Introduction

VTL

Video Tracing and Tampering Localization (VTL). A novel framework to detect fake video (clipping, cropping, blur, etc.) by tracing the source video of fake video. 1) Training hash centers as HCs. 2) Finding index of source video from HCs. 3) Masking the different between fake video and source video as a result of comparison (auxiliary information).

Trace Samples and Acc of HashBits

Although the source videos are very similar, we can accurately find the source videos of the fake video clips.

DFTL Dataset Samples

Same person with different scenes. You can download full 16 minutes videos of source video and fake video by follows link.

Different fake videos from same source.

Source Video

Fake Videos of Different Face Swap Methods

DAVIS2016-TL Dataset Samples

The first gif of boat is source video, and remaining five videos generated by different inpainting methods.

🔬 Train or Test

Datasets Download

BaiduNetdisk code：VTLs

  • actors: Source videos and fake videos of full 16 minutes. You can use these videos to make richer datasets.
  • DFTL: Dataset of DFTL, the DFTL build from actors.
  • DAVIS2016-TL: Extension of DAVIS2016

Extract to the same directory as the code (vtl). Example:

├─other files
├─project
│  ├─vrf: dataset of DFTL
│  ├─inpainting: dataset of DAVIS2016-TL
│  └─vtl: our code
│      ├─CSQ: Central Similarity Quantization for Efficient Image and Video Retrieval
│      ├─dmac: Compared method of Localization
│      └─codes

Train

Pretrained models and hash centers

pip install -r requirements.txt

Model DFTL DAVIS2016-TL
ViTHash 64-1024bits 64-1024bits
Generator link link

Parameters

  • local_rank: gpu id
  • path: dataset path
  • type: choice dataloader
    • 0: DFTL dataloader, dir name is vrf
    • 1: DAVIS2016-TL dataloader, dir name is inpainting

Train ViTHash

python train_h.py --local_rank=0 --path=../vrf --type=0 --bits=128

Train Generator

python train_g.py --local_rank=0 --path=../vrf --type=0

Test

Test IOU

The test script will test Generator of VTL and DMAC together on DFTL and DAVIS2016-TL. You can modify it for yourself.

python test_iou.py

Test ViTHash

  1. type: choice dataloader
    • 0: DFTL dataloader, dir name is vrf
    • 1: DAVIS2016-TL dataloader, dir name is inpainting
  2. path: dataset path
  3. hashbits: 128 256 512 or 1024, will load different pre-trained model and hash JSON file.
python test.py 1 ../inpainting 512

Test CSQ

  1. cd ./CSQ
  2. run test script
python hash_test_vrf.py --dataset=Inpainting --pretrained_3d=./Inpainting_64bits.pth

🚀️ Tracing

Trace Samples

👀️ Localization

Localization Samples

DAVIS2016-TL

DFTL

You might also like...
Implementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Implementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hashing by Maximizing Bit Entropy

Deep Unsupervised Image Hashing by Maximizing Bit Entropy This is the PyTorch implementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hash

null 62 Dec 30, 2022
Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

Ng Kam Woh 71 Dec 22, 2022
Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021)
Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021)

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021) Zeyu Wang, Sherry Qiu, Nicole Feng, Holly Rushmeier, Leonard McMill

Zach Zeyu Wang 23 Dec 9, 2022
Enhancing Knowledge Tracing via Adversarial Training

Enhancing Knowledge Tracing via Adversarial Training This repository contains source code for the paper "Enhancing Knowledge Tracing via Adversarial T

Xiaopeng Guo 14 Oct 24, 2022
Implementation of light baking system for ray tracing based on Activision's UberBake

Vulkan Light Bakary MSU Graphics Group Student's Diploma Project Treefonov Andrey [GitHub] [LinkedIn] Project Goal The goal of the project is to imple

Andrey Treefonov 7 Dec 27, 2022
Ray tracing of a Schwarzschild black hole written entirely in TensorFlow.

TensorGeodesic Ray tracing of a Schwarzschild black hole written entirely in TensorFlow. Dependencies: Python 3 TensorFlow 2.x numpy matplotlib About

null 5 Jan 15, 2022
Space-event-trace - Tracing service for spaceteam events
Space-event-trace - Tracing service for spaceteam events

space-event-trace Tracing service for TU Wien Spaceteam events. This service is

TU Wien Space Team 2 Jan 4, 2022
Activity image-based video retrieval

Cross-modal-retrieval Our approach is focus on Activity Image-to-Video Retrieval (AIVR) task. The compared methods are state-of-the-art single modalit

BCMI 75 Oct 21, 2021
A Joint Video and Image Encoder for End-to-End Retrieval
A Joint Video and Image Encoder for End-to-End Retrieval

Frozen️ in Time ❄️ ️️️️ ⏳ A Joint Video and Image Encoder for End-to-End Retrieval project page | arXiv | webvid-data Repository containing the code,

null 225 Dec 25, 2022
Comments
  • the pre-trained model

    the pre-trained model

    I downloaded the provided pre-trained model and the test acc in DFTL and DAVIS2016-TL reached 100%, is this correct? Why is it so much higher than in the article?

    opened by ymhzyj 1
Releases(v1.0)
Owner
GitHub Repository
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures

SfM disambiguation with COLMAP About Structure-from-Motion generally fails when the scene exhibits symmetries and duplicated structures. In this repos

Computer Vision and Geometry Lab 193 Dec 26, 2022
Code for IntraQ, PyTorch implementation of our paper under review

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7

1 Nov 19, 2021
Malware Env for OpenAI Gym

Malware Env for OpenAI Gym Citing If you use this code in a publication please cite the following paper: Hyrum S. Anderson, Anant Kharkar, Bobby Fila

ENDGAME 563 Dec 29, 2022
A scikit-learn compatible neural network library that wraps PyTorch

A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look

4.9k Dec 31, 2022
The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.

Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result

Omar Laham 1 Jan 14, 2022
LSUN Dataset Documentation and Demo Code

LSUN Please check LSUN webpage for more information about the dataset. Data Release All the images in one category are stored in one lmdb database fil

Fisher Yu 426 Jan 02, 2023
Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network This repository is the implementation of ACE-HGNN in PyTorch. Environment pyt

9 Nov 28, 2022
A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

One-Stage Visual Grounding ***** New: Our recent work on One-stage VG is available at ReSC.***** A Fast and Accurate One-Stage Approach to Visual Grou

Zhengyuan Yang 118 Dec 05, 2022
This is the second place solution for : UmojaHack Africa 2022: African Snake Antivenom Binding Challenge

UmojaHack-Africa-2022-African-Snake-Antivenom-Binding-Challenge This is the second place solution for : UmojaHack Africa 2022: African Snake Antivenom

Mami Mokhtar 10 Dec 03, 2022
Pytorch Implementation of Residual Vision Transformers(ResViT)

ResViT Official Pytorch Implementation of Residual Vision Transformers(ResViT) which is described in the following paper: Onat Dalmaz and Mahmut Yurt

ICON Lab 41 Dec 08, 2022
DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.

DWIPrep: A Robust Preprocessing Pipeline for dMRI Data DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transp

Gal Ben-Zvi 1 Jan 09, 2023
EfficientNetV2-with-TPU - Cifar-10 case study

EfficientNetV2-with-TPU EfficientNet EfficientNetV2 adalah jenis jaringan saraf convolutional yang memiliki kecepatan pelatihan lebih cepat dan efisie

Sultan syach 1 Dec 28, 2021
Face Mask Detector by live camera using tensorflow-keras, openCV and Python

Face Mask Detector 😷 by Live Camera Detecting masked or unmasked faces by live camera with percentange of mask occupation About Project: This an Arti

Karan Shingde 2 Apr 04, 2022
This project provides the proof of the uniqueness of the equilibrium and the global asymptotic stability.

Delayed-cellular-neural-network This project provides the proof of the uniqueness of the equilibrium and the global asymptotic stability. There is als

4 Apr 28, 2022
A library for low-memory inferencing in PyTorch.

Pylomin Pylomin (PYtorch LOw-Memory INference) is a library for low-memory inferencing in PyTorch. Installation ... Usage For example, the following c

3 Oct 26, 2022
Utilizes Pose Estimation to offer sprinters cues based on an image of their running form.

Running-Form-Correction Utilizes Pose Estimation to offer sprinters cues based on an image of their running form. How to Run Dependencies You will nee

3 Nov 08, 2022
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"

From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ( Antonio Sutera 3 Feb 23, 2022

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction This is the implementation of DeepSTD in

5 Sep 26, 2022
This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.

Locus This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order

Robotics and Autonomous Systems Group 96 Dec 15, 2022
Breaking the Dilemma of Medical Image-to-image Translation

Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field

Kid Liet 86 Dec 21, 2022