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Found 3 papers, 2 papers with code
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
However, the high dimensionality, presence of noise and outliers, and the need for precise labels of HSIs present significant challenges to HSIs analysis, motivating the development of performant HSI clustering algorithms.
AerialVLN: Vision-and-Language Navigation for UAVs
Navigating in the sky is more complicated than on the ground because agents need to consider the flying height and more complex spatial relationship reasoning.
Quasibound states of charged dilatonic black holes
We demonstrate the numerical solution and analytical solution perfectly agree with each other in the region where charge of the black hole is large, both for real and imaginary parts of the eigen frequencies.
General Relativity and Quantum Cosmology
