A Single Stream Network for Robust and Real-Time RGB-D Salient Object Detection

Computer Vision – ECCV 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58542-6_39 ◽

2020 ◽

pp. 646-662 ◽

Author(s):

Xiaoqi Zhao ◽

Lihe Zhang ◽

Youwei Pang ◽

Huchuan Lu ◽

Lei Zhang

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

Salient Object ◽

Stream Network ◽

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Dual-Stream Network Based On Global Guidance for Salient Object Detection

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413702 ◽

2021 ◽

Author(s):

Shuyong Gao ◽

Qianyu Guo ◽

Wei Zhang ◽

Wenqiang Zhang ◽

Zhongwei Ji

Keyword(s):

Object Detection ◽

Salient Object Detection ◽

Salient Object ◽

Stream Network ◽

Global Guidance

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A Deeper Look at Image Salient Object Detection: Bi-stream Network with a Small Training Dataset

IEEE Transactions on Multimedia ◽

10.1109/tmm.2020.3046871 ◽

2020 ◽

pp. 1-1

Author(s):

Zhenyu Wu ◽

Shuai Li ◽

Chenglizhao Chen ◽

Aimin Hao ◽

Hong Qin

Keyword(s):

Object Detection ◽

Salient Object Detection ◽

Training Dataset ◽

Salient Object ◽

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Real-time Surveillance Video Salient Object Detection Using Collaborative Cloud-Edge Deep Reinforcement Learning

10.1109/ijcnn52387.2021.9533581 ◽

2021 ◽

Author(s):

Biao Hou ◽

Junxing Zhang

Keyword(s):

Reinforcement Learning ◽

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

Salient Object ◽

Surveillance Video

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Progressively Real-time Video Salient Object Detection via Cascaded Fully Convolutional Networks with Motion Attention

Neurocomputing ◽

10.1016/j.neucom.2021.10.007 ◽

2021 ◽

Author(s):

Qingping Zheng ◽

Ying Li ◽

Ling Zheng ◽

Qiang Shen

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

Salient Object ◽

Convolutional Networks ◽

Fully Convolutional Networks

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A Simple Pooling-Based Design for Real-Time Salient Object Detection

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2019.00404 ◽

2019 ◽

Author(s):

Jiang-Jiang Liu ◽

Qibin Hou ◽

Ming-Ming Cheng ◽

Jiashi Feng ◽

Jianmin Jiang

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

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Real-Time Salient Object Detection with a Minimum Spanning Tree

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2016.256 ◽

2016 ◽

Author(s):

Wei-Chih Tu ◽

Shengfeng He ◽

Qingxiong Yang ◽

Shao-Yi Chien

Keyword(s):

Object Detection ◽

Real Time ◽

Spanning Tree ◽

Minimum Spanning Tree ◽

Salient Object Detection ◽

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Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2019.2956418 ◽

2020 ◽

Vol 67 (11) ◽

pp. 9893-9903

Author(s):

Yuming Fang ◽

Guanqun Ding ◽

Wenying Wen ◽

Feiniu Yuan ◽

Yong Yang ◽

...

Keyword(s):

Object Detection ◽

Real Time ◽

Video Processing ◽

Salient Object Detection ◽

Semantic Features ◽

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Real-time salient object detection engine for high definition videos

2013 International Symposium onVLSI Design, Automation, and Test (VLSI-DAT) ◽

10.1109/vldi-dat.2013.6533848 ◽

2013 ◽

Author(s):

Yu-Jie Fu ◽

Guan-Lin Wu ◽

Shao-Yi Chien

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

Salient Object ◽

High Definition

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Real-time salient object detection

Proceedings of the 21st ACM international conference on Multimedia - MM '13 ◽

10.1145/2502081.2502240 ◽

2013 ◽

Author(s):

Chia-Ju Lu ◽

Chih-Fan Hsu ◽

Mei-Chen Yeh

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

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Real-Time Salient Object Detection Based on Fully Convolutional Networks

Communications in Computer and Information Science - Advances in Image and Graphics Technologies ◽

10.1007/978-981-10-7389-2_19 ◽

2017 ◽

pp. 189-198 ◽

Author(s):

Guangyu Nie ◽

Yinan Guo ◽

Yue Liu ◽

Yongtian Wang

Keyword(s):

Object Detection ◽

Real Time ◽

Salient Object Detection ◽

Salient Object ◽

Convolutional Networks ◽

Fully Convolutional Networks

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