Tag: Vision Transformers

A new comprehensive review analyzes 13 pretrained multimodal AI models from 2020 to 2025, comparing their architectures, datasets, and applications ...

Researchers have demonstrated a switchable backdoor attack that injects dual tokens through the layers of Vision Transformers, achieving up to ...

A new systematic review of 55 studies traces a decade of evolution in AI-based surface defect detection, from CNNs to ...

A new composite scoring framework called RECAF jointly measures deepfake detectors' accuracy, robustness to image distortions, and cross-dataset generalization, revealing ...

Researchers at Tarbiat Modares University have developed DuoDiT, a dual-stream architecture that adapts large diffusion transformers for image generation by ...

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...

A comprehensive new survey in Multimedia Tools and Applications maps deepfake generation techniques from GANs to diffusion models and finds ...

Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...