Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Masking and Demasking Agents01:19

Masking and Demasking Agents

2.6K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.6K
Force Classification01:22

Force Classification

1.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.4K
Classification of Systems-I01:26

Classification of Systems-I

270
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
270
Prosopagnosia01:24

Prosopagnosia

235
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
235
Classification of Systems-II01:31

Classification of Systems-II

214
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
214
Detection of Black Holes01:10

Detection of Black Holes

2.3K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Three-dimensional zone of centers of resistance in maxillary central incisors and first molars: Couple-based finite element determination.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics·2025
Same author

Spatio-Temporal Transformer with Kolmogorov-Arnold Network for Skeleton-Based Hand Gesture Recognition.

Sensors (Basel, Switzerland)·2025
Same author

Bidirectional Planning for Autonomous Driving Framework with Large Language Model.

Sensors (Basel, Switzerland)·2024
Same author

A Transformer-Based Model for Super-Resolution of Anime Image.

Sensors (Basel, Switzerland)·2022
Same author

Methods of Generating Emotional Movements and Methods of Transmitting Behavioral Intentions: A Perspective on Human-Coexistence Robots.

Sensors (Basel, Switzerland)·2022
Same author

Estimation of Flat Object Deformation Using RGB-D Sensor for Robot Reproduction.

Sensors (Basel, Switzerland)·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 23, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K

Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.

Shengyin Li1, Vibekananda Dutta1,2, Xin He1

  • 1Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan.

Sensors (Basel, Switzerland)
|October 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel face anti-spoofing method using a one-class classification model to improve the detection of fake facial images generated by Generative Adversarial Networks (GANs). The approach enhances generalization across datasets and new data, addressing current method limitations.

Keywords:
Generative Adversarial Network (GAN)Multi-Channel Convolutional Neural Network (MCCNN)Weakly Supervised Learning (WSL)attention learningdata augmentationdeep learningface anti-spoofingself-attention

More Related Videos

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

845
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

Related Experiment Videos

Last Updated: Aug 23, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

845
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

Area of Science:

  • Computer Vision
  • Image Processing
  • Forensic Science

Background:

  • Generative Adversarial Networks (GANs) pose significant risks in face generation, leading to challenges in image processing and forensic science.
  • Existing face anti-spoofing techniques based on GANs often exhibit overfitting and poor generalization capabilities.
  • The need for robust methods to authenticate facial images against increasingly sophisticated spoofing techniques is critical.

Purpose of the Study:

  • To develop a novel face anti-spoofing method that overcomes the limitations of current GAN-based approaches.
  • To create a model with improved compatibility across diverse datasets and new, unseen data.
  • To enhance the accuracy and reliability of facial image authenticity judgment.

Main Methods:

  • Employed various filter enhancement techniques for data augmentation and pseudo-image generation.
  • Utilized an improved Multi-Channel Convolutional Neural Network (MCCNN) for individual preprocessing, feature map extraction, and attention map generation.
  • Implemented a two-step training process: binary classification for known GANs and one-class classification for unknown spoofing methods, incorporating attention cropping and dropping via weakly supervised learning.

Main Results:

  • The proposed method demonstrated improved cross-domain detection efficiency compared to four recent state-of-the-art methods.
  • Maintained high accuracy within the source domain while effectively generalizing to new data.
  • Successfully addressed the overfitting and generalization issues prevalent in existing GAN-based anti-spoofing techniques.

Conclusions:

  • The developed one-class classification-based method offers a promising direction for enhancing facial image authenticity verification.
  • The approach provides a more compatible and generalizable solution for face anti-spoofing, contributing significantly to both academic research and practical applications.
  • This work advances the field by improving the correct answer rate in judging facial image authenticity against diverse spoofing techniques.