FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182024
Abstract: Image forgery is easily manufactured for illegal acts such as spreading misleading information, which can have unfortunate consequences for society. In this work, we propose a Discrete Cosine Transformation (DCT) based multi-task learning network named… read more here.
Keywords: fbi net; localization; frequency; attention ... See more keywords
Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3245947
Abstract: Most of existing deep learning models for image forgery localization rely on a large number of high-quality labeled samples for training. The training procedures are performed off-line and without adaptation to the image under scrutiny.… read more here.
Keywords: image forgery; forgery localization; vae; image ... See more keywords
TBFormer: Two-Branch Transformer for Image Forgery Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3279018
Abstract: Image forgery localization aims to identify forged regions by capturing subtle traces from high-quality discriminative features. In this paper, we propose a Transformer-style network with two feature extraction branches for image forgery localization, and it… read more here.
Keywords: image forgery; two branch; forgery localization; feature ... See more keywords