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Location: China
Type: User
Location: China
A list of tools, papers and code related to Deepfake Detection.
微信小程序开发资源汇总 :100:
This paper proposes a novel attention mechanism module using genetic algorithm , called Genetic Algorithm based Attention module (GA$^2$), that is a lightweight and plug-and-play for Convolutional Neural Networks (CNNs). Imitation of human visual system is the key of attention mechanism, but existing algorithms do not fully utilize it and additionally increase the design hyper-parameters. To address this problem, we propose an efficient attention module based on the difference between object distributions, which extracts local and global contextual information, calculates the difference between them and send it to the network. More importantly, instead of designing the receptive field manually, we search for the best receptive field combination using \textit{Genetic Algorithm}, which is more efficient for hyper-parameters and more reasonable for practice. We perform sufficient ablation studies to explore the factors of genetic algorithm that influence the performance of GA$^2$. Finally, we verify GA$^2$ on different tasks, including classification and dense prediction task, object detection. The experiments shows that GA$^2$ achieves very competitive performance against other attention modules. We implement GA$^2$ with the Python library, Pytorch, and the code and models ARE publicly available at Pytorch-GA$^2$ .
Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", pre-print available on Arxiv
The code of multi-attention deepfake detection
YOLOv5检测界面-PyQt5实现
[ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation
The official pytorch implemention of our ICML paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".
This project will summarize the image attention mechanism
A synthetic texture-invariant dataset for object detection of UAVs
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Some thing interesting about web. New door for the world.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.