(2)我们在SpectralFormer中设计了两个简单但有效的模块,即分组光谱嵌入(GSE)和跨层自适应融合(CAF),以学习局部详细的光谱表示,并分别将如同记忆的组件从浅层传递到深层。 (3)我们定性和定量地评估了SpectralFormer在三个具有代表性的HS数据集上的分类性能,即IndianPines、Pavia University和Houston2013,并进行了广泛...
此外,所提出的SpectralFormer不仅适用于按像素划分的HS图像分类,而且还可扩展到按批次输入的空间-光谱分类,从而产生空间-光谱SpectralFormer版本。图3显示了在HS图像分类任务中所提出的SpectralFormer的概况,而表一则详细说明了所提出的SpectralForme中所使用的符号的定义。 2.3.GroupWise频谱嵌入 与传统VIT中的离散顺序不...
为了解决这个问题,我们提出了一种新的主干网络–SpectralFormer网络,并从序列的角度对HS图像分类进行了重新思考除了经典变压器中的频带表示之外,SpectralFormer还能够从HS图像的相邻频带中学习频谱局部序列信息,从而产生GroupWise频谱嵌入。更重要的是,为了减少在LayerWise传播过程中丢失有价值信息的可能性,我们设计了一种跨...
(1)提出了一种改进的DenseTransformer,它利用密集连接来解决Transformer中的梯度消失问题。 (2)将CNN、DenseTransformer和多层感知器(MLP)相结合,提出了一种新的HSI分类框架,即spatial-spectral Transformer (SST)。在该SST中,利用精心设计的CNN提取HSI的空间特征,利用DenseTransformer捕获HSI的序列光谱关系,利用MLP完成分...
Please kindly be careful on assigning arguments such asepochesandweight_decay. For re-performing of the last three columns in TABLE VIII of our paper, i.e., theViT,Pixel-wiseandPatch-wise SpectralFormeron the Indian Pines dataset, you can either re-train by following: ...
In comparison to traditional Visual Transformers (ViT), the Spectral Weaver innovates in several ways: (1) It introduces the MCA mechanism to enhance the mining of spectral feature sequence properties; (2) It employs Centre-Differential Convolutional Layers to strengthen spatial feature extraction; (...
SubFormer-Spec is a variant of SubFormer that uses the spectral token to capture the global information of the molecule. The spectral token is a vector representation that is obtained by decomposing the graph Laplacian of the molecule to obtain the eigen spectrum. The spectral token is then ...
Spectral Medical Inc. today announced that it has appointed Dr. David W. Feigal, Jr., M.D., M.P.H., to its Board of Directors. TORONTO, June 27, 2023 (GLOBE NEWSWIRE) --Spectral Medical Inc.(“Spectral” or the “Company”) (TSX: EDT),a late-stage the...
Advanced spectral mastering dynamics processor plugin. A powerful tool for mastering, stereo field adjustments, and restoration, with a comprehensive visual feedback.
spectralformer networkhistogram of oriented gradienthybrid attention moduleClassification of hyperspectral image (HSI) is an essential step in various remote sensing tasks. Currently, transformer-based models have made significant contributions to HSI classification due to their remarkable ability to model ...