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Existing saliency object detection (SOD) methods struggle to satisfy fast inference and accurate results simultaneously in high resolution scenes.
“Real-esrgan: Training real-world blind super-resolution with pure synthetic data,”
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan, · 1914
Earlier work this paper cites.
“Image quality assessment: from error visibility to structural similarity,”
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli, · 2004
Earlier work this paper cites.
“Saliency detection via graph-based manifold ranking,”
Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang, · 2013
Earlier work this paper cites.
“Saliency optimization from robust background detection,”
Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun, · 2014
Earlier work this paper cites.
“Salient object detection via objectness measure,”
R Sai Srivatsa and R Venkatesh Babu, · 2015
Earlier work this paper cites.
“Minimum barrier salient object detection at 80 fps,”
Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian Price, and Radomir Mech, · 2015
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation,” 2015
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,”
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang, · 2016
Earlier work this paper cites.
“A benchmark dataset and evaluation methodology for video object segmentation,”
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung, · 2016
Cited alongside, same era.
“Adam: A method for stochastic optimization,” 2017
Diederik P. Kingma and Jimmy Ba, · 2017
Cited alongside, same era.
“Learning to detect salient objects with image-level supervision,”
Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, and Xiang Ruan, · 2017
Cited alongside, same era.
“A simple pooling-based design for real-time salient object detection,”
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, and Jianmin Jiang, · 2019
Cited alongside, same era.
“Towards high-resolution salient object detection,” 2019
Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, and Huchuan Lu, · 2019
Cited alongside, same era.
“U2-net: Going deeper with nested u-structure for salient object detection,”
“Tracer: Extreme attention guided salient object tracing network,”
Min Seok Lee, WooSeok Shin, and Sung Won Han, · 2021
Later among the works it cites.
“Boundary-aware segmentation network for mobile and web applications,”
Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant’Anna, Albert Suarez, Martin Jagersand, and Ling Shao, · 2021
Later among the works it cites.
“Mobilesal: Extremely efficient rgb-d salient object detection,”
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yu-Chao Gu, and Ming-Ming Cheng, · 2022
Later among the works it cites.
“P2t: Pyramid pooling transformer for scene understanding,”
Yu-Huan Wu, Yun Liu, Xin Zhan, and Ming-Ming Cheng, · 2022
Later among the works it cites.
“Highly accurate dichotomous image segmentation,”
Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, and Luc Van Gool, · 2022
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Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar Zaiane, and Martin Jagersand, · 2020
Cited alongside, same era.
“Rgb-d saliency detection via cascaded mutual information minimization,”
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, and Ling Shao, · 2021
Cited alongside, same era.
“A de-raining semantic segmentation network for real-time foreground segmentation,”
Fanyi Wang and Yihui Zhang, · 2021
Cited alongside, same era.
“Revisiting image pyramid structure for high resolution salient object detection,” 2022
Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, and Daijin Kim, · 2022
Later among the works it cites.
“Pyramid grafting network for one-stage high resolution saliency detection,”
Chenxi Xie, Changqun Xia, Mingcan Ma, Zhirui Zhao, Xiaowu Chen, and Jia Li, · 2022
Later among the works it cites.