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Found 5 papers, 0 papers with code
AI-Guided Defect Detection Techniques to Model Single Crystal Diamond Growth
This paper details seminal work on defect segmentation pipeline using in-situ optical images to identify features that indicate defective states that are visible at the macroscale.
AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth
This paper compares various traditional and machine learning-driven approaches for feature extraction in the diamond growth domain, proposing a novel deep learning-driven semantic segmentation approach to isolate and classify accurate pixel masks of geometric features like diamond, pocket holder, and background, along with their derivative features based on shape and size.
MetaCompass: Reference-guided Assembly of Metagenomes
Metagenomic studies have primarily relied on de novo assembly for reconstructing genes and genomes from microbial mixtures.
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems
As part of the research presented in this paper, we first deploy a range of state of the art adversarial attacks against multiple face recognition pipelines trained in a black box setup, and then generate pair-wise adversarial image sets to deceive the corresponding models under attack.
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations
Adversarial attacks are small, carefully crafted perturbations, imperceptible to the naked eye; that when added to an image cause deep learning models to misclassify the image with potentially detrimental outcomes.
