output
20122025
most citedDense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

348 citations

Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 348 cited

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Qijian Zhang, Runmin Cong, Chongyi Li +5

Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains a…

stat.AP2020

Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation

Wei Chen, Jiusun Zeng, Xiaobin Xu +2

In order to improve the fault diagnosis capability of multivariate statistical methods, this article introduces a fault isolation framework based on structured sparsity modeling. T…

cs.CV2020★ 87 cited

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

Xuehao Wang, Shuai Li, Chenglizhao Chen +3

Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network arc…

cs.CV2020★ 124 cited

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

Chenglizhao Chen, Guotao Wang, Chong Peng +3

The current main stream methods formulate their video saliency mainly from two independent venues, i.e., the spatial and temporal branches. As a complementary component, the main t…

eess.IV2020

Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos

Xiangjie Sui, Kede Ma, Yiru Yao +1

Omnidirectional images (also referred to as static 360° panoramas) impose viewing conditions much different from those of regular 2D images. How do humans perceive image distortion…

math.AP2020

Non-uniform dependence for higher dimensional Camassa-Holm equations in Besov spaces

Jinlu Li, Wei Deng, Min Li

In this paper, we investigate the dependence on initial data of solutions to higher dimensional Camassa-Holm equations. We show that the data-to-solution map is not uniformly conti…

math.AP2020

Non-uniform dependence for the Novikov equation in Besov spaces

Jinlu Li, Min Li, Weipeng Zhu

In this paper, we investigate the dependence on initial data of solutions to the Novikov equation. We show that the solution map is not uniformly continuous dependence on the initi…