A Lightweight and Effective Image Tampering Localization Network with Vision Mamba

Kun Guo, Gang Cao, Zijie Lou +2

Current image tampering localization methods primarily rely on Convolutional Neural Networks (CNNs) and Transformers. While CNNs suffer from limited local receptive fields, Transfo…