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Taylor‐RNet: An approach for image forgery detection using Taylor‐adaptive rag‐bull rider‐based deep convolutional neural network

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-981-13-6351-1_14openalex-snapshot

Image Forgery Detection: Survey and Future Directions

inferredcites →https://doi.org/10.1007/978-981-15-5400-1_15openalex-snapshot

Spliced Image Detection in 3D Lighting Environments Using Neural Networks

inferredcites →https://doi.org/10.1007/s11042-010-0620-1openalex-snapshot

Digital image forensics: a booklet for beginners

inferredcites →https://doi.org/10.1016/j.bspc.2020.102322openalex-snapshot

Adaptive rag-bull rider: A modified self-adaptive optimization algorithm for epileptic seizure detection with deep stacked autoencoder using electroencephalogram

inferredcites →https://doi.org/10.1016/j.diin.2013.04.007openalex-snapshot

Digital image forgery detection using passive techniques: A survey

inferredcites →https://doi.org/10.1049/iet-ipr.2017.1120openalex-snapshot

Illumination‐based texture descriptor and fruitfly support vector neural network for image forgery detection in face images

inferredcites →https://doi.org/10.1109/jsen.2019.2928480openalex-snapshot

Image Forgery Detection Based on Motion Blur Estimated Using Convolutional Neural Network

inferredcites →https://doi.org/10.1109/tifs.2010.2053202openalex-snapshot

Forensic detection of image manipulation using statistical intrinsic fingerprints

inferredcites →https://doi.org/10.1109/tifs.2011.2129512openalex-snapshot

A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery

inferredcites →https://doi.org/10.1109/tifs.2013.2265677openalex-snapshot

Exposing Digital Image Forgeries by Illumination Color Classification

inferredcites →https://doi.org/10.1109/tifs.2016.2623589openalex-snapshot

Optimized 3D Lighting Environment Estimation for Image Forgery Detection

inferredcites →https://doi.org/10.1109/tim.2018.2836058openalex-snapshot

RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits

inferredcites →https://doi.org/10.1109/tvlsi.2017.2688340openalex-snapshot

Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns

inferredcites →https://doi.org/10.1109/wifs.2010.5711437openalex-snapshot

Exposing digital forgeries from 3-D lighting environments

inferredcites →https://doi.org/10.1109/wifs.2015.7368587openalex-snapshot

Improved 3D lighting environment estimation for image forgery detection

inferredcites →https://doi.org/10.3991/ijes.v6i4.9317openalex-snapshot

Masked Face Detection using the Viola Jones Algorithm: A Progressive Approach for less Time Consumption

inferredcites →https://doi.org/10.4018/978-1-60960-024-2.ch012openalex-snapshot

Detecting Image Forgeries using Geometric Cues

inferredcites →https://doi.org/10.5120/15470-4112openalex-snapshot

Taylor Series Prediction of Time Series Data with Error Propagated by Artificial Neural Network

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/int.22792openalex-snapshot

Document images forgery localization using a two‐stream network

inferred← citeshttps://doi.org/10.1002/int.22822openalex-snapshot

PR‐NET: Progressively‐refined neural network for image manipulation localization

inferred← citeshttps://doi.org/10.1002/int.22826openalex-snapshot

MC‐Net: Learning mutually‐complementary features for image manipulation localization

inferred← citeshttps://doi.org/10.1007/s11042-024-19843-zopenalex-snapshot

A systematic literature review on image splicing detection and localization using emerging technologies

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107200openalex-snapshot

DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization

inferred← citeshttps://doi.org/10.1021/acssensors.5c01439openalex-snapshot

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

inferred← citeshttps://doi.org/10.1109/iciscae55891.2022.9927557openalex-snapshot

Utilizing Sensitive Features for Image Tampering Detection

inferred← citeshttps://doi.org/10.1109/iciscae55891.2022.9927668openalex-snapshot

Image Forgery Detection Using Deep Learning Framework

inferred← citeshttps://doi.org/10.1155/2023/8378073openalex-snapshot

Video Surveillance Object Forgery Detection using PDCL Network with Residual‐based Steganalysis Feature

inferred← citeshttps://doi.org/10.2478/amns-2024-0700openalex-snapshot

Self-Information Forgery Mining for Face Forgery Detection

inferred← citeshttps://doi.org/10.4018/979-8-3373-3795-1.ch003openalex-snapshot

Forensic Applications of Generative AI in Image Reconstruction

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