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Quantum Vision Clustering
Unsupervised visual clustering has garnered significant attention in recent times, aiming to characterize distributions of unlabeled visual images through clustering based on a parameterized appearance approach.
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal.
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
In this work, we present a novel method to tackle the problem of missing annotation in instance segmentation in 2D quantum material identification.
Defining Quantum Neural Networks via Quantum Time Evolution
This work presents a novel fundamental algorithm for for defining and training Neural Networks in Quantum Information based on time evolution and the Hamiltonian.
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