SpaSSA: Superpixelwise adaptive SSA for unsupervised spatial–spectral feature extraction in hyperspectral image
Singular spectral analysis (SSA) has recently been successfully applied to feature extraction
in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D …
in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D …
A deep multi-modal CNN for multi-instance multi-label image classification
Deep convolutional neural networks (CNNs) have shown superior performance on the task
of single-label image classification. However, the applicability of CNNs to multi-label images …
of single-label image classification. However, the applicability of CNNs to multi-label images …
Edge preserving and multi-scale contextual neural network for salient object detection
In this paper, we propose a novel edge preserving and multi-scale contextual neural
network for salient object detection. The proposed framework is aiming to address two limits …
network for salient object detection. The proposed framework is aiming to address two limits …
The study of mechanical arm and intelligent robot
HW Lee - IEEE Access, 2020 - ieeexplore.ieee.org
As an important part of the automation industrial system, mechanical arm robot plays an
important role in service, exploration, automation engineering and other fields, and has a …
important role in service, exploration, automation engineering and other fields, and has a …
Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning
B Li, C Yuan, W ** for multi-label image annotation
Automatic image annotation as a typical multi-label learning problem, has gained extensive
attention in recent years owing to its application in image semantic understanding and …
attention in recent years owing to its application in image semantic understanding and …
Is visual saliency useful for content-based image retrieval?
Y Wu, H Liu, J Yuan, Q Zhang - multimedia Tools and Applications, 2018 - Springer
In the real world, people often focus on the distinctive objects (Salient Regions, SR) in a
scene. Thus, a number of saliency detection methods are introduced into content-based …
scene. Thus, a number of saliency detection methods are introduced into content-based …