Vision-and-Language

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
[ TOMM 2024 ] We propose a novel deepfake detection method for images generated through Diffusion Models and created a new dataset COCO-Fake consisting of 650K generated fake images.
Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
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Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
We propose a novel self-supervised pre-training technique for Vision Transformer called MaPeT and a novel image tokenizer called k-CLIP which directly employs discretized CLIP features.
Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo_Baraldi, Andrea Pilzer, Rita Cucchiara
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MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training