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Pixel‐wise supervision for presentation attack detection on identity document cards
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11744047_33openalex-snapshot
Human Detection Using Oriented Histograms of Flow and Appearance
inferredcites →https://doi.org/10.1007/978-0-387-30164-8openalex-snapshot
Encyclopedia of Machine Learning
inferredcites →https://doi.org/10.1007/978-3-030-90439-5_23openalex-snapshot
PW-MAD: Pixel-Wise Supervision for Generalized Face Morphing Attack Detection
inferredcites →https://doi.org/10.1007/s11036-016-0721-9openalex-snapshot
An NFC Anti-Counterfeiting Framework for ID Verification and Image Protection
inferredcites →https://doi.org/10.1007/s11263-019-01162-8openalex-snapshot
Large-Scale Bisample Learning on ID Versus Spot Face Recognition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108398openalex-snapshot
Real masks and spoof faces: On the masked face presentation attack detection
inferredcites →https://doi.org/10.1049/iet-bmt.2013.0020openalex-snapshot
Presentation attack detection methods for fingerprint recognition systems: a survey
inferredcites →https://doi.org/10.1109/access.2014.2381273openalex-snapshot
Biometric Antispoofing Methods: A Survey in Face Recognition
inferredcites →https://doi.org/10.1109/btas.2018.8698596openalex-snapshot
DocFace: Matching ID Document Photos to Selfies
inferredcites →https://doi.org/10.1109/ccwc.2018.8301729openalex-snapshot
Compressed residual-VGG16 CNN model for big data places image recognition
inferredcites →https://doi.org/10.1109/chinasip.2013.6625374openalex-snapshot
CASIA Image Tampering Detection Evaluation Database
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00116openalex-snapshot
Learning Rich Features for Image Manipulation Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00020openalex-snapshot
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/fg52635.2021.9667051openalex-snapshot
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/icb45273.2019.8987370openalex-snapshot
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/icip.2016.7532339openalex-snapshot
COVERAGE — A novel database for copy-move forgery detection
inferredcites →https://doi.org/10.1109/ijcb52358.2021.9484343openalex-snapshot
Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
inferredcites →https://doi.org/10.1109/lnla.2009.5278397openalex-snapshot
Methods for local phase quantization in blur-insensitive image analysis
inferredcites →https://doi.org/10.1109/tbiom.2019.2897807openalex-snapshot
DocFace+: ID Document to Selfie Matching
inferredcites →https://doi.org/10.1109/tbiom.2020.3024263openalex-snapshot
Hybrid Two-Stage Architecture for Tampering Detection of Chipless ID Cards
inferredcites →https://doi.org/10.1109/tifs.2011.2109951openalex-snapshot
Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos
inferredcites →https://doi.org/10.1109/tip.2010.2044957openalex-snapshot
A Completed Modeling of Local Binary Pattern Operator for Texture Classification
inferredcites →https://doi.org/10.1109/tip.2015.2395951openalex-snapshot
Presentation Attack Detection for Face Recognition Using Light Field Camera
inferredcites →https://doi.org/10.1145/3038924openalex-snapshot
Presentation Attack Detection Methods for Face Recognition Systems
inferredcites →https://doi.org/10.1145/3232849openalex-snapshot
Presentation Attack Detection for Iris Recognition
inferredcites →https://doi.org/10.1201/9781003003489-10openalex-snapshot
Fraud Attack Detection in Remote Verification Systems for Non-enrolled Users
inferredcites →https://doi.org/10.13140/rg.2.2.11773.79849openalex-snapshot
Face Morphing Attack Generation & Detection: A Comprehensive Survey
inferredcites →https://doi.org/10.5244/c.30.112openalex-snapshot
Practical View on Face Presentation Attack Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-62277-9_35openalex-snapshot
Determining the Segmentation Type Impact on an ID Card Fraud Detection System
inferred← citeshttps://doi.org/10.1007/978-981-96-8126-6_24openalex-snapshot
Exploring ID Card Recognition Systems for Enhanced Security Protocols
inferred← citeshttps://doi.org/10.1007/s12652-026-05126-yopenalex-snapshot
AI-based structural and motif rule extraction for Weifang kite analysis and digital preservation
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103969openalex-snapshot
Privacy-aware detection of fake identity documents: methodology, benchmark, and improved algorithms (FakeIDet2)
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111352openalex-snapshot
Forged presentation attack detection for ID cards on remote verification systems
inferred← citeshttps://doi.org/10.1109/access.2024.3397190openalex-snapshot
Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer
inferred← citeshttps://doi.org/10.1109/apsipaasc63619.2025.10848747openalex-snapshot
A Document Presentation Attack Detection Scheme with Optical Flow under a Flashlight
inferred← citeshttps://doi.org/10.1109/asiancon62057.2024.10838197openalex-snapshot
Predictive Analytics in Digital ID Verification for Fraud Prevention
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825017openalex-snapshot
IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation
inferred← citeshttps://doi.org/10.1109/biosig65492.2025.11358198openalex-snapshot
Online Augmentation for Presentation Attack Detection on ID Cards
inferred← citeshttps://doi.org/10.1109/ijcb62174.2024.10744475openalex-snapshot
First Competition on Presentation Attack Detection on ID Card
inferred← citeshttps://doi.org/10.1109/ijcb62174.2024.10744501openalex-snapshot
Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries
inferred← citeshttps://doi.org/10.1109/ijcb65343.2025.11411481openalex-snapshot
FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection
inferred← citeshttps://doi.org/10.1109/iwbf68042.2026.11558176openalex-snapshot
Impact of Face Swapping Attacks on Id Card Presentation Attack Detection
inferred← citeshttps://doi.org/10.1109/ojsp.2026.3729152openalex-snapshot
Display-Recaptured Document Image Detection Under Texture Interference
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3566310openalex-snapshot
Moiré Spectral Augmentation and Masked Frequency Modeling for Document Presentation Attack Detection
inferred← citeshttps://doi.org/10.1109/tifs.2023.3255585openalex-snapshot
Synthetic ID Card Image Generation for Improving Presentation Attack Detection
inferred← citeshttps://doi.org/10.1109/wifs66636.2025.00025openalex-snapshot
Disentangling Moiré and Texture: Towards Robust Display-Recapture Detection for Document Images
inferred← citeshttps://doi.org/10.1145/3583780.3615122openalex-snapshot
KID34K: A Dataset for Online Identity Card Fraud Detection
inferred← citeshttps://doi.org/10.18287/2412-6179-co-1237openalex-snapshot
Screen recapture detection based on color-texture analysis of document boundary regions
inferred← citeshttps://doi.org/10.23919/eusipco63237.2025.11226539openalex-snapshot
Detecting Presentation Attacks on ID Cards Using Feature Refinement
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