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Salient object detection (SOD) and camouflaged object detection (COD) are related yet distinct binary mapping tasks.
Design and perceptual validation of performance measures for salient object segmentation
Vida Movahedi and James H Elder · 2010
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Leveraging stereopsis for saliency analysis
Yuzhen Niu, Yujie Geng, Xueqing Li, and Feng Liu · 2012
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Video segmentation by tracking many figure-ground segments
Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, and James M Rehg · 2013
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Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2013
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Hierarchical saliency detection
Qiong Yan, Li Xu, Jianping Shi, and Jiaya Jia · 2013
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Saliency detection via graph-based manifold ranking
Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang · 2013
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Depth saliency based on anisotropic center-surround difference
Ran Ju, Ling Ge, Wenjing Geng, Tongwei Ren, and Gangshan Wu · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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The secrets of salient object segmentation
Yin Li, Xiaodi Hou, Christof Koch, James M Rehg, and Alan L Yuille · 2014
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Rgbd salient object detection: A benchmark and algorithms
Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, and Rongrong Ji · 2014
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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
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Visual saliency based on multiscale deep features
Guanbin Li and Yizhou Yu · 2015
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Consistent video saliency using local gradient flow optimization and global refinement
Wenguan Wang, Jianbing Shen, and Ling Shao · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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It’s moving! a probabilistic model for causal motion segmentation in moving camera videos
Pia Bideau and Erik Learned-Miller · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dhsnet: Deep hierarchical saliency network for salient object detection
Nian Liu and Junwei Han · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
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Structure-measure: A new way to evaluate foreground maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji · 2017
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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
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A stagewise refinement model for detecting salient objects in images
Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, and Huchuan Lu · 2017
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Video salient object detection via fully convolutional networks
Wenguan Wang, Jianbing Shen, and Ling Shao · 2017
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Moa-net: self-supervised motion segmentation
Pia Bideau, Rakesh R Menon, and Erik Learned-Miller · 2018
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R3net: Recurrent residual refinement network for saliency detection
Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, and Pheng-Ann Heng · 2018
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Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, and Ali Borji · 2018
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Deeply supervised salient object detection with short connections
Q Hou, MM Cheng, X Hu, A Borji, Z Tu, and PHS Torr · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla · 2018
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Flow guided recurrent neural encoder for video salient object detection
Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, and Liang Lin · 2018
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Picanet: Learning pixel-wise contextual attention for saliency detection
Nian Liu, Junwei Han, and Ming-Hsuan Yang · 2018
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Pyramid dilated deeper convlstm for video salient object detection
Hongmei Song, Wenguan Wang, Sanyuan Zhao, Jianbing Shen, and Kin-Man Lam · 2018
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Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach
Guizhao Wang, Chenglong Li, Yunpeng Ma, Aihua Zheng, Jin Tang, and Bin Luo · 2018
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Salient object detection with recurrent fully convolutional networks
Linzhao Wang, Lijun Wang, Huchuan Lu, Pingping Zhang, and Xiang Ruan · 2018
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Salient object detection driven by fixation prediction
Wenguan Wang, Jianbing Shen, Xingping Dong, and Ali Borji · 2018
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Progressive attention guided recurrent network for salient object detection
Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, and Gang Wang · 2018
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Salient object detection: A survey
Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, and Jia Li · 2019
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Shifting more attention to video salient object detection
Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, and Jianbing Shen · 2019
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Anabranch network for camouflaged object segmentation
Trung-Nghia Le, Tam V Nguyen, Zhongliang Nie, Minh-Triet Tran, and Akihiro Sugimoto · 2019
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End-to-end multi-task learning with attention
Shikun Liu, Edward Johns, and Andrew J Davison · 2019
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Salient object detection for rgb-d image by single stream recurrent convolution neural network
Zhengyi Liu, Song Shi, Quntao Duan, Wei Zhang, and Peng Zhao · 2019
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Depth-induced multi-scale recurrent attention network for saliency detection
Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, and Huchuan Lu · 2019
Cited alongside, same era.
Basnet: Boundary-aware salient object detection
Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, and Martin Jagersand · 2019
Cited alongside, same era.
Rgb-t image saliency detection via collaborative graph learning
Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma, and Jin Tang · 2019
Cited alongside, same era.
Semi-supervised video salient object detection using pseudo-labels
Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, and Liang Lin · 2019
Cited alongside, same era.
Synthesizing supervision for learning deep saliency network without human annotation
Dingwen Zhang, Junwei Han, Yu Zhang, and Dong Xu · 2019
Cited alongside, same era.
Capsal: Leveraging captioning to boost semantics for salient object detection
Self-supervised video object segmentation by motion grouping
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, and Weidi Xie · 2021
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Mutual graph learning for camouflaged object detection
Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, and Deng-Ping Fan · 2021
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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
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Dynamic context-sensitive filtering network for video salient object detection
Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, and Zhongxuan Luo · 2021
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Cgmdrnet: Cross-guided modality difference reduction network for rgb-t salient object detection
Gang Chen, Feng Shao, Xiongli Chai, Hangwei Chen, Qiuping Jiang, Xiangchao Meng, and Yo-Sung Ho · 2022
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Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, and You He · 2019
Cited alongside, same era.
Rgb-t salient object detection via fusing multi-level cnn features
Qiang Zhang, Nianchang Huang, Lin Yao, Dingwen Zhang, Caifeng Shan, and Jungong Han · 2019
Cited alongside, same era.
Contrast prior and fluid pyramid integration for rgbd salient object detection
Jia-Xing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, and Le Zhang · 2019
Cited alongside, same era.
Egnet:edge guidance network for salient object detection
Jia-Xing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, and Ming-Ming Cheng · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Progressively guided alternate refinement network for rgb-d salient object detection
Shuhan Chen and Yun Fu · 2020
Cited alongside, same era.
Dpanet: Depth potentiality-aware gated attention network for rgb-d salient object detection
Zuyao Chen, Runmin Cong, Qianqian Xu, and Qingming Huang · 2020
Cited alongside, same era.
Implicit motion handling for video camouflaged object detection
Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, and Zongyuan Ge · 2022
Later among the works it cites.
Does thermal really always matter for rgb-t salient object detection?
Runmin Cong, Kepu Zhang, Chen Zhang, Feng Zheng, Yao Zhao, Qingming Huang, and Sam Kwong · 2022
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Densely nested top-down flows for salient object detection
Chaowei Fang, Haibin Tian, Dingwen Zhang, Qiang Zhang, Jungong Han, and Junwei Han · 2022
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Visual prompt tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim · 2022
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Segment, magnify and reiterate: Detecting camouflaged objects the hard way
Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, and Zhongxuan Luo · 2022
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Spsn: Superpixel prototype sampling network for rgb-d salient object detection
Minhyeok Lee, Chaewon Park, Suhwan Cho, and Sangyoun Lee · 2022
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Disentangled capsule routing for fast part-object relational saliency
Yi Liu, Dingwen Zhang, Nian Liu, Shoukun Xu, and Jungong Han · 2022
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Pro-tuning: Unified prompt tuning for vision tasks
Xing Nie, Bolin Ni, Jianlong Chang, Gaomeng Meng, Chunlei Huo, Zhaoxiang Zhang, Shiming Xiang, Qi Tian, and Chunhong Pan · 2022
Later among the works it cites.
Zoom in and out: A mixed-scale triplet network for camouflaged object detection
Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, and Huchuan Lu · 2022
Later among the works it cites.
Rgbt salient object detection: A large-scale dataset and benchmark
Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, and Yongtao Liu · 2022
Later among the works it cites.
Salient object detection via integrity learning
Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, and Ling Shao · 2022
Later among the works it cites.
Foundational models defining a new era in vision: A survey and outlook
Muhammad Awais, Muzammal Naseer, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, and Fahad Shahbaz Khan · 2023
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Advances in deep concealed scene understanding
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, and Luc Van Gool · 2023
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Camouflaged object detection with feature decomposition and edge reconstruction
Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li · 2023
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Compositional prompting video-language models to understand procedure in instructional videos
Guyue Hu, Bin He, and Hanwang Zhang · 2023
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Deep gradient learning for efficient camouflaged object detection
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, and Luc Van Gool · 2023
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Full-duplex strategy for video object segmentation
Ge-Peng Ji, Deng-Ping Fan, Keren Fu, Zhe Wu, Jianbing Shen, and Ling Shao · 2023
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Joint salient object detection and camouflaged object detection via uncertainty-aware learning
Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, and Yuchao Dai · 2023
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Boosting low-data instance segmentation by unsupervised pre-training with saliency prompt
Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, and Junwei Han · 2023
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Vst++: Efficient and stronger visual saliency transformer
Nian Liu, Ziyang Luo, Ni Zhang, and Junwei Han · 2023
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Learning complementary spatial–temporal transformer for video salient object detection
Nian Liu, Kepan Nan, Wangbo Zhao, Xiwen Yao, and Junwei Han · 2023
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Explicit visual prompting for universal foreground segmentations
Weihuang Liu, Xi Shen, Chi-Man Pun, and Xiaodong Cun · 2023
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Caver: Cross-modal view-mixed transformer for bi-modal salient object detection
Youwei Pang, Xiaoqi Zhao, Lihe Zhang, and Huchuan Lu · 2023
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A unified transformer framework for group-based segmentation: Co-segmentation, co-saliency detection and video salient object detection
Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, and Qingyao Wu · 2023
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Images speak in images: A generalist painter for in-context visual learning
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang · 2023
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Seggpt: Segmenting everything in context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang · 2023
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Pixels, regions, and objects: Multiple enhancement for salient object detection
Yi Wang, Ruili Wang, Xin Fan, Tianzhu Wang, and Xiangjian He · 2023
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Source-free depth for object pop-out
Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, and Luc Van Gool · 2023
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Universal instance perception as object discovery and retrieval
Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, and Huchuan Lu · 2023
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Learning referring video object segmentation from weak annotation
Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, and Yang You · 2023
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Mffn: Multi-view feature fusion network for camouflaged object detection
Dehua Zheng, Xiaochen Zheng, Laurence T Yang, Yuan Gao, Chenlu Zhu, and Yiheng Ruan · 2023
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Visual prompt multi-modal tracking
Jiawen Zhu, Simiao Lai, Xin Chen, Dong Wang, and Huchuan Lu · 2023
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Generalized decoding for pixel, image, and language
Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, et al · 2023
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Dynamic tuning towards parameter and inference efficiency for vit adaptation
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, and Yang You · 2024
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