Papers with Code 아카이브

Spoof Detection

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

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

VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

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

Does complimentary information from multispectral imaging improve face presentation attack detection?

AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems

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

PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics

Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes

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

Saliency-based Video Summarization for Face Anti-spoofing

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

FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing

Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection

Surveillance Face Presentation Attack Detection Challenge

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation

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

PDVN: A Patch-based Dual-view Network for Face Liveness Detection using Light Field Focal Stack

Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection

A Novel Active Solution for Two-Dimensional Face Presentation Attack Detection

Face Presentation Attack Detection

Fairness in Face Presentation Attack Detection

Face Anti-Spoofing from the Perspective of Data Sampling

Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets

One-Class Knowledge Distillation for Face Presentation Attack Detection

Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation

Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset

Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels

Style-Guided Domain Adaptation for Face Presentation Attack Detection

ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection

A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection

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

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

Review of Face Presentation Attack Detection Competitions

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

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