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Found 2 papers, 1 papers with code
Multi-attention Associate Prediction Network for Visual Tracking
They are capable of fully capturing the category-related semantics for classification and the local spatial contexts for regression, respectively.
PCA-domain Fused Singular Spectral Analysis for fast and Noise-Robust Spectral-Spatial Feature Mining in Hyperspectral Classification
The principal component analysis (PCA) and 2-D singular spectral analysis (2DSSA) are widely used for spectral domain and spatial domain feature extraction in hyperspectral images (HSI).
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