Face Presentation Attack Detection
17 papers with code • 2 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Face Presentation Attack Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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WMCA
CASIA-SURF
Replay-Mobile
OULU-NPU
Most implemented papers
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
The proposed approach achieves an HTER of 0% in Replay Mobile dataset and an ACER of 0. 42% in Protocol-1 of OULU dataset outperforming state of the art methods.
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
The proposed system is evaluated on the publicly available WMCA multi-channel face PAD database, which contains a wide variety of 2D and 3D attacks.
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
rshaojimmy/MADDoG
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CVPR 2019
This work focuses on improving the generalization ability of face anti-spoofing methods from the perspective of the domain generalization.
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing
The proposed system is tested on a very recent publicly available multi-channel PAD database with a wide variety of presentation attacks.
Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices
In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems.
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network
We also introduce the new Wide Multi-Channel presentation Attack (WMCA) database for face PAD which contains a wide variety of 2D and 3D presentation attacks for both impersonation and obfuscation attacks.
Anomaly Detection-Based Unknown Face Presentation Attack Detection
yashasvi97/IJCB2020_anomaly
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Anomaly detection-based spoof attack detection is a recent development in face Presentation Attack Detection (fPAD), where a spoof detector is learned using only non-attacked images of users.
MixNet for Generalized Face Presentation Attack Detection
The major problem with existing work is the generalizability against multiple attacks both in the seen and unseen setting.
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
With the increased deployment of face recognition systems in our daily lives, face presentation attack detection (PAD) is attracting much attention and playing a key role in securing face recognition systems.
FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
The proposed method, first introduces task specific features from other face related task, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task.
