Tootfinder

An Investigation of Visual Foundation Models Robustness
Sandeep Gupta, Roberto Passerone
https://arxiv.org/abs/2508.16225 https://arxiv.org/pdf/2508.16225

An Investigation of Visual Foundation Models Robustness
Visual Foundation Models (VFMs) are becoming ubiquitous in computer vision, powering systems for diverse tasks such as object detection, image classification, segmentation, pose estimation, and motion tracking. VFMs are capitalizing on seminal innovations in deep learning models, such as LeNet-5, AlexNet, ResNet, VGGNet, InceptionNet, DenseNet, YOLO, and ViT, to deliver superior performance across a range of critical computer vision applications. These include security-sensitive domains like bi…