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Found 4 papers, 0 papers with code
Brainformer: Modeling MRI Brain Functions to Machine Vision
In this work, we first present a simple yet effective Brainformer approach, a novel Transformer-based framework, to analyze the patterns of fMRI in the human perception system from the machine learning perspective.
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.
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Then, a new cross-domain MOT adaptation from existing datasets is proposed without any pre-defined human knowledge in understanding and modeling objects.
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.
