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Defending Against Universal Attacks Through Selective Feature Regeneration

Defending Against Universal Attacks Through Selective Feature Regeneration

by tborkar | Jun 24, 2020

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

Understanding How Image Quality Affects Deep Neural Networks

by Fulton Schools | May 11, 2017

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

Stereo Vision Based Automated Solder Ball Height and Substrate Coplanarity Inspection

by Fulton Schools | May 11, 2017

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

A No-Reference Texture Regularity Metric Based on Visual Saliency

by Fulton Schools | May 11, 2017

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...
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