[HTML][HTML] An efficient Transformer with neighborhood contrastive tokenization for hyperspectral images classification
M Liang, X Zhang, X Yu, L Yu, Z Meng, X Zhang… - International Journal of …, 2024 - Elsevier
The success of vision Transformers (ViTs) relies heavily on the self-attention mechanism,
which requires support from appropriate patch tokenization. However, hyperspectral image …
which requires support from appropriate patch tokenization. However, hyperspectral image …
Multispectral Semantic Segmentation for UAVs: A Benchmark Dataset and Baseline
Q Li, H Yuan, T Fu, Z Yu, B Zheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Solidago canadensis L. is a typical invasive plant that has become a significant threat
worldwide and profoundly impacts local ecosystems. An unmanned aerial vehicle (UAV) …
worldwide and profoundly impacts local ecosystems. An unmanned aerial vehicle (UAV) …
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis
F Zhou, M Kilickaya, J Vanschoren, R Piao - arXiv preprint arXiv …, 2024 - arxiv.org
Hyperspectral Imaging (HSI) plays an increasingly critical role in precise vision tasks within
remote sensing, capturing a wide spectrum of visual data. Transformer architectures have …
remote sensing, capturing a wide spectrum of visual data. Transformer architectures have …
Image Classification of Hyperspectral Images using Machine Learning
A Chaudhari, T Zanke, S Mulgir… - 2024 International …, 2024 - ieeexplore.ieee.org
In the realm of hyperspectral imagery, sophisticated classification is imperative for extracting
nuanced insights from complex data. This paper presents a comprehensive exploration of …
nuanced insights from complex data. This paper presents a comprehensive exploration of …