dandelion915's repositories

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awesome-mixed-sample-data-augmentation

A collection of awesome things about mixed sample data augmentation

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Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" available on Arxiv and was submitted to ICIAP 2021.

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CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

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F3Net

Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

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F3Net-1

Pytorch implementation of Thinking in frequency: Face forgery detection by mining frequency-aware clues (ECCV2020)

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FTCN

[Official] Exploring Temporal Coherence for More General Video Face Forgery Detection(ICCV 2021)

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icassp2021-mscnn-spu

Code for our paper "Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention" (ICASSP 2021, co-first authorship)

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LipForensics

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

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MM-2021

[ACM Multimedia 2021] Spatiotemporal Inconsistency Learning for DeepFake Video Detection

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multiple-attention

The code of multi-attention deepfake detection

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OpenFace

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

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PCL-I2G

Unofficial Implementation: Learning Self-Consistency for Deepfake Detection

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query2labels

Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

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RhythmNet

End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. A replication of the RhythmNet model.

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STVEN_rPPGNet

Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"

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tensorflow-MTCNN

人脸检测MTCNN算法,采用tensorflow框架编写,从理解到训练,中文注释完全,含测试和训练,支持摄像头

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WIFS2018_In_Ictu_Oculi

In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking

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