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Boundary-guided Feature Aggregation Network for Salient Object Detection

Boundary-guided Feature Aggregation Network for Salient Object Detection

IEEE Signal Processing Letters (IEEE SPL), 2018
28 September 2018
Yunzhi Zhuge
Silong Yong
Huchuan Lu
ArXiv (abs)PDFHTML

Papers citing "Boundary-guided Feature Aggregation Network for Salient Object Detection"

7 / 7 papers shown
Learning to Detect Instance-level Salient Objects Using Complementary
  Image Labels
Learning to Detect Instance-level Salient Objects Using Complementary Image LabelsInternational Journal of Computer Vision (IJCV), 2021
Xin Tian
Ke Xu
Xin Yang
Baocai Yin
Rynson W. H. Lau
WSOD
258
33
0
19 Nov 2021
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object DetectionIEEE Signal Processing Letters (IEEE SPL), 2021
Jinchao Zhu
Xiaoyu Zhang
Xian Fang
Feng Dong
Yu Qiu
294
4
0
13 Aug 2021
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
Sanguk Park
Minyoung Chung
105
17
0
27 May 2021
Weakly-supervised Salient Instance Detection
Weakly-supervised Salient Instance Detection
Xin Tian
Ke Xu
Xin Yang
Baocai Yin
Rynson W. H. Lau
WSOD
265
24
0
29 Sep 2020
Bifurcated backbone strategy for RGB-D salient object detection
Bifurcated backbone strategy for RGB-D salient object detection
Yingjie Zhai
Deng-Ping Fan
Jufeng Yang
Ali Borji
Ling Shao
Junwei Han
Liang Wang
303
142
0
06 Jul 2020
EGNet:Edge Guidance Network for Salient Object Detection
EGNet:Edge Guidance Network for Salient Object DetectionIEEE International Conference on Computer Vision (ICCV), 2019
Jiaxing Zhao
Jiangjiang Liu
Deng-Ping Fan
Yang Cao
Jufeng Yang
Ming-Ming Cheng
343
1,041
0
22 Aug 2019
Salient Object Detection with Lossless Feature Reflection and Weighted
  Structural Loss
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
Silong Yong
Wen Liu
Huchuan Lu
Chunhua Shen
347
54
0
21 Jan 2019
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