61 Open source projects that are alternatives of or similar to Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

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This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.

All about Deepfakes & Detection

A list of tools, papers and code related to Deepfake Detection.

Vision Transformer for 3D medical image registration (Pytorch).

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Deepfakes Software For All

KoCLIP: Korean port of OpenAI CLIP, in Flax

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

SOTA Semantic Segmentation Models in PyTorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Using efficientnet to provide embeddings for retrieval

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Implementation of Conv-based and Vit-based networks designed for CIFAR.

This repository contains demos I made with the Transformers library by HuggingFace.

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

A Gluon Implement of EfficientNet

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Implementation of EfficientNet model. Keras and TensorFlow Keras.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

PyTorch implementation of EfficientNetV2 family

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

Official code for DefakeHop: A Light-Weight High-Performance Deepfake Detector

You Only Look at One Sequence (NeurIPS 2021)

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

a collection of visualization function

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

SwinIR: Image Restoration Using Swin Transformer (official repository)

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

A script for gathering facesets from online videos

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

DeepFaceLab is the leading software for creating deepfakes.

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

A collection of SOTA Image Classification Models in PyTorch

Google Brain AutoML

Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

pix2tex: Using a ViT to convert images of equations into LaTeX code.

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

A collection of deep learning models (PyTorch implemtation)

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022)

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

MPViT:Multi-Path Vision Transformer for Dense Prediction in CVPR 2022

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Using deep learning models for image classification directly on the HoloLens 2.

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

A list of popular deep learning models related to classification, segmentation and detection problems