Results 331 to 340 of about 1,120,551 (376)

STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection

IEEE Transactions on Instrumentation and Measurement, 2021
In this article, we propose an infrared and visible image fusion network based on the salient target detection, termed STDFusionNet, which can preserve the thermal targets in infrared images and the texture structures in visible images.
Jiayi Ma, Linfeng Tang, Meilong Xu, Hao Zhang, Guobao Xiao   +4 more
semanticscholar   +1 more source

Salient Alternatives in Perspective

Australasian Journal of Philosophy, 2020
This paper empirically investigates how perspective bears on putative salient alternative effects on knowledge ascriptions.
Gerken, Mikkel, Gonnerman, Chad, Alexander, Joshua, Waterman, John   +3 more
openaire   +3 more sources

Suppress and Balance: A Simple Gated Network for Salient Object Detection

European Conference on Computer Vision, 2020
Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the encoder exchanges information with the decoder: one is the lack of interference control between
Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang   +4 more
semanticscholar   +1 more source

Salient Cues and Complexity

Management Science, 2020
Important decisions are often complex, and existing evidence suggests that complexity can affect economic behavior. It is an open question, however, exactly when and how complexity matters. We hypothesize that salient cues—standing out in the choice context—mitigate the effect of complexity on choices.
Markus Dertwinkel-Kalt, Mats Köster
openaire   +3 more sources

BASNet: Boundary-Aware Salient Object Detection

Computer Vision and Pattern Recognition, 2019
Deep Convolutional Neural Networks have been adopted for salient object detection and achieved the state-of-the-art performance. Most of the previous works however focus on region accuracy but not on the boundary quality.
Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, Martin Jägersand   +5 more
semanticscholar   +1 more source

Evaluation of Salient Point Techniques [PDF]

Image and Vision Computing, 2002
Abstract In image retrieval, global features related to color or texture are commonly used to describe the image content. The problem with this approach is that these global features cannot capture all parts of the image having different characteristics. Therefore, local computation of image information is necessary.
Sebe, Niculae, Q. TIAN, E. LOUPIAS, M. S. LEW, T. S. HUANG   +4 more
openaire   +4 more sources

Edge-Guided Recurrent Positioning Network for Salient Object Detection in Optical Remote Sensing Images

IEEE Transactions on Cybernetics, 2022
Optical remote sensing images (RSIs) have been widely used in many applications, and one of the interesting issues about optical RSIs is the salient object detection (SOD).
Xiaofei Zhou, Kunye Shen, Li Weng, Runmin Cong, Bolun Zheng, Jiyong Zhang, C. Yan   +6 more
semanticscholar   +1 more source

Learning Salient Feature for Salient Object Detection Without Labels

IEEE Transactions on Cybernetics, 2023
Supervised salient object detection (SOD) methods achieve state-of-the-art performance by relying on human-annotated saliency maps, while unsupervised methods attempt to achieve SOD by not using any annotations. In unsupervised SOD, how to obtain saliency in a completely unsupervised manner is a huge challenge.
Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen   +4 more
openaire   +2 more sources

PoolNet+: Exploring the Potential of Pooling for Salient Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
We explore the potential of pooling techniques on the task of salient object detection by expanding its role in convolutional neural networks. In general, two pooling-based modules are proposed.
Jiangjiang Liu, Qibin Hou, Zhi-Ang Liu, Mingg-Ming Cheng   +3 more
semanticscholar   +1 more source