DFSpot-Deepfake-Recognition
pytorch-grad-cam
| DFSpot-Deepfake-Recognition | pytorch-grad-cam | |
|---|---|---|
| 9 | 5 | |
| 89 | 9,456 | |
| - | - | |
| 0.0 | 5.4 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DFSpot-Deepfake-Recognition
-
Detection of DeepFakes
The code for the paper can be found at: https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition
- DeepFake Detection
-
Exposing DeepFakes Using Siamese Training
Code for the paper: https://github.com/chinmaynehate/DFSpot-Deepfake-Recognition
Demo link is available in the Readme of the repository
Results have been obtained on datasets: DFDC, FF++ & CelebDF (V2)
- Detecting DeepFake Videos
- Detect fake videos using deep learning
- DFSpot-Deepfake-Recognition: Determine whether a given video sequence has been manipulated or synthetically generated.
- DeepFake detection using Ensemble Learning
- DFSpot-Deepfake-Recognition: Determine whether a given video sequence has been manipulated or synthetically generated
- DeepFake detection using ensemble and siamese learning
pytorch-grad-cam
-
Exploring GradCam and More with FiftyOne
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
-
Which layers are doing image segmentation on AutoEncoders/U-NET?
https://github.com/jacobgil/pytorch-grad-cam.
-
[D] Algorithm for view prediction?
I know I would like to use grad-CAM https://github.com/jacobgil/pytorch-grad-cam
-
[P] Adapting Class Activation Maps for Object Detection and Semantic Segmentation
https://github.com/jacobgil/pytorch-grad-cam is a project that has a comprehensive collection of Pixel Attribution Methods for PyTorch (like the package name grad-cam that was the original algorithm implemented).
- [Project] Recent Class Activation Map Methods for CNNs and Vision Transformers
What are some alternatives?
deepfake-scanner - Deepfake Scanner by Deepware.
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
DeepFake-Detection - Towards deepfake detection that actually works
tf-keras-vis - Neural network visualization toolkit for tf.keras
dino-vit-features - Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
pyc2pa - Python implementation of C2PA: Coalition for Content Provenance and Authenticity.
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers