Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Tejas Borkar Felix Heide Lina Karam Deep neural network (DNN) predictions have been shown to be vulnerable to carefully crafted adversarial perturbations. Specifically,...
Understanding How Image Quality Affects Deep Neural Networks Image quality is an important practical challenge that is often overlooked in the design of machine vision systems. Commonly, machine vision systems are trained and tested on high quality image datasets, yet...
Stereo Vision Based Automated Solder Ball Height and Substrate Coplanarity Inspection Solder ball height and substrate coplanarity inspection is essential to the detection of potential connectivity issues in semi-conductor units. Current ball height and substrate...
A No-Reference Texture Regularity Metric Based on Visual Saliency This paper presents a no-reference perceptual metric that quantifies the degree of perceived regularity in textures. The metric is based on the similarity of visual attention (VA) of the textural...
