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6 days ago · The findings suggest that RustQNet may serve as a multimodal data processing tools for precise and efficient crop disease quantitative inversion, thereby ...
23 hours ago · A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid Attention for Remote Sensing Image Dehazing. by. Yufeng He.
8 hours ago · This study introduces a novel method utilizing hyperspectral imaging for instantaneous ore-waste analysis of drill cuttings. To implement this technique, ...
2 days ago · By using a large visual model to analyze these spectral data, the obtained crop health information can help farmers quickly and accurately identify diseases and ...
6 days ago · ... Multimodal Data [2024-05-22]. 基于步态的神经 ... Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
1 day ago · Remote sensing (RS) images play an indispensable role in many key fields such as environmental monitoring, precision agriculture, and urban resource management.
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2 days ago · Graph convolutional neural networks for 3D data analysis. Fecha lectura: 22 ... Residual attention graph convolutional network for geometric 3D scene ...
6 days ago · ... hyperspectral image; multispectral image; neural networks; multi-sensor ... Quantum self-attention neural networks for text classification. Sci China ...
6 days ago · To address this issue, we introduce a Multimodal Alignment and Reconstruction Network (MARNet), designed to enhance the model's resistance to visual noise.
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