Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Abstract: Infrared (IR) small target detection is challenging because the IR imaging lacks detailed features, weak shape features, and a low signal-to-noise ratio (SNR). The existing small IR target ...
Abstract: Convolution and self-attention are two powerful techniques for multisource remote sensing (RS) data fusion that have been widely adopted in Earth observation tasks. However, convolutional ...
Infrared spectroscopy (IR spectroscopy) is an optical technique that detects molecular bond vibrations and rotations upon absorption of infrared light. Because different chemical functional groups ...
This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...
Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
† J. Heyrovský Institute of Physical Chemistry of the ASCR, v.v.i., Dolejškova 3, 18223 Prague, Czech Republic ‡ Institute of Organic Chemistry and Biochemistry of the ASCR, v.v.i., Flemingovo n. 2, ...
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