Papers with Code 아카이브

Spoof Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

4

평가표

2

보존된 평가 기록

2

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Akinori-F-Ebihara/SpecDiff-spoofing-detector

공식 코드

Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices

https://github.com/AmirmohammadRostami/ASV-anti-spoofing-with-EABN

공식 코드

Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection

https://github.com/CVRL/PhotometricStereoIrisPAD

공식 코드

Iris Presentation Attack Detection Based on Photometric Stereo Features

https://github.com/akuehlka/emvlc-ipad

공식 코드

Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection

https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019

공식 코드

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/cvrl/anomaly-aware-rppg

공식 코드

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation

https://github.com/gurayozgur/foundpad

공식 코드

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

https://github.com/idt-iti/mmfusion-iml

공식 코드

MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization

https://github.com/iprobe-lab/adv-gen-irispad

공식 코드

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection

https://github.com/liubinggunzu/vlad-vsa

공식 코드

VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation

https://github.com/lizhi-ntu/OCKD-FacePAD

공식 코드

One-Class Knowledge Distillation for Face Presentation Attack Detection

https://github.com/meilfang/cf-pad

공식 코드

Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics

https://github.com/meilfang/fairnessfacepad

공식 코드

Fairness in Face Presentation Attack Detection

https://github.com/meilfang/lmfd-pad

공식 코드

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

https://github.com/meilfang/synthaspoof

공식 코드

SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

https://github.com/naiftt/fedsis

공식 코드

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection

https://github.com/polimi-ispl/icpr2020dfdc

공식 코드

Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/shivangi-aneja/TAFIM

공식 코드

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

https://github.com/wentianzhang-ml/frt-pad

공식 코드

FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task

https://github.com/wolo-wolo/FFR_FD-Effective-and-Fast-Detection-of-DeepFakes-Based-on-Feature-Point-Defects

공식 코드

FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects

https://github.com/yashasvi97/IJCB2020_anomaly

공식 코드

Anomaly Detection-Based Unknown Face Presentation Attack Detection

https://github.com/zi-yuanyang/ijcb-synfacepad-dig

공식 코드

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

https://github.com/CVRL/RaspberryPiOpenSourceIris

Iris Presentation Attack Detection Based on Photometric Stereo Features

https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

https://github.com/MS-Mind/MS-Code-02/tree/main/configs/mixnet

MixNet for Generalized Face Presentation Attack Detection

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection

Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing

https://github.com/Saiyam26/Deep-Pixel-wise-Binary-Supervision

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/Saiyam26/Face-Anti-Spoofing-using-DeePixBiS

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/SuyashSonawane/fakedetector

Video Face Manipulation Detection Through Ensemble of CNNs

https://github.com/anjith2006/bob.paper.mcae.icb2019

Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing

https://github.com/anjith2006/bob.paper.mccnn.tifs2018

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

https://github.com/anjith2006/bob.paper.oneclass_mccnn_2019

Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

https://github.com/ffletcherr/face-recognition-liveness

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/jhchang/DFDC

Video Face Manipulation Detection Through Ensemble of CNNs

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.