Quantum visual feature encoding revisited
Although quantum machine learning has been introduced for a while, its applications in
computer vision are still limited. This paper, therefore, revisits the quantum visual encoding …
computer vision are still limited. This paper, therefore, revisits the quantum visual encoding …
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
Unsupervised vision clustering, a cornerstone in computer vision, has been studied for
decades, yielding significant outcomes across numerous vision tasks. However, these …
decades, yielding significant outcomes across numerous vision tasks. However, these …
Hierarchical Quantum Control Gates for Functional MRI Understanding
Quantum computing has emerged as a powerful tool for solving complex problems
intractable for classical computers, particularly in popular fields such as cryptography …
intractable for classical computers, particularly in popular fields such as cryptography …
Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex
S Ma, L Wang, S Hou, B Yan - arXiv preprint arXiv:2401.03851, 2024 - arxiv.org
Recently, there has been a surge in the popularity of pre trained large language models
(LLMs)(such as GPT-4), sweeping across the entire Natural Language Processing (NLP) …
(LLMs)(such as GPT-4), sweeping across the entire Natural Language Processing (NLP) …