ForMa, a Vision Mamba based network with pixel-shuffle upsampling and decoder-stage noise fusion, reports the best average tampering localization F1 (64.1%) with the lowest FLOPs (42G) among compared methods.
Learning jpeg compression artifacts for image manipulation detection and localization,
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A Lightweight and Effective Image Tampering Localization Network with Vision Mamba
ForMa, a Vision Mamba based network with pixel-shuffle upsampling and decoder-stage noise fusion, reports the best average tampering localization F1 (64.1%) with the lowest FLOPs (42G) among compared methods.