[HTML][HTML] PolSAR image land cover classification based on hierarchical capsule network
Polarimetric synthetic aperture radar (PolSAR) image classification is one of the basic
methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional …
methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional …
Deep interactive encoding with capsule networks for image classification
With new architectures providing astonishing performance on many vision tasks, the interest
in Convolutional Neural Networks (CNNs) has grown exponentially in the recent past. Such …
in Convolutional Neural Networks (CNNs) has grown exponentially in the recent past. Such …
Multi-View Representation Learning via View-Aware Modulation
Multi-view (representation) learning derives an entity's representation from its multiple
observable views to facilitate various downstream tasks. The most challenging topic is how …
observable views to facilitate various downstream tasks. The most challenging topic is how …
Locality cross-view regression for feature extraction
J Zhang, H Zhang, W Qiang, N Deng, L Jing - Engineering Applications of …, 2021 - Elsevier
Regression-based methods (RBMs) have become a widely-used technique for feature
extraction. However, most RBMs are only suitable for single-view data and fail to explore the …
extraction. However, most RBMs are only suitable for single-view data and fail to explore the …