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A Survey of Object Co-segmentation

Zhoumin Lu, Haiping Xu, Genggeng Liu
2019 IEEE Access  
INDEX TERMS Computer vision, semantic segmentation, object co-segmentation, joint processing, saliency, model evaluation.  ...  This paper reviews some classic and effective object co-segmentation methods, including saliency-based approaches, joint-processing-based approaches, graph-based approaches, and others.  ...  Secondly, the reviewers provided a lot of useful comments and suggestions for this paper. We accepted them with humility and the paper has been considerably improved.  ... 
doi:10.1109/access.2019.2917152 fatcat:qipvlujtnraqfbfnjhk7q4eawq

Deep Joint Task Learning for Generic Object Extraction [article]

Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, Wangmeng Zuo
2015 arXiv   pre-print
objects from images, and (ii) accurately segmenting the objects based on the localizations.  ...  We present a general joint task learning framework, in which each task (either object localization or object segmentation) is tackled via a multi-layer convolutional neural network, and the two networks  ...  It is also worth to mention that it requires a few seconds for testing via the co-segmentation methods [28, 7] , which is much slower than our approach with 0.014 seconds per image.  ... 
arXiv:1502.00743v1 fatcat:yaxubtkupjcrnglq52xteotabe

Research on Salient Object Detection using Deep Learning and Segmentation Methods

2019 International journal of recent technology and engineering  
Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational  ...  It not only focuses on the methods to detect saliency objects, but also reviews the works related to spatio temporal video attention detection technique in video sequences.  ...  The optimal saliency map and the final segmentation are achieved by jointly optimizing the defined objective functions.  ... 
doi:10.35940/ijrte.b1046.0982s1119 fatcat:6ofq53vb7zhx7boq4ndpraphs4

A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges [article]

Dingwen Zhang, Huazhu Fu, Junwei Han, Ali Borji, Xuelong Li
2017 arXiv   pre-print
As a novel branch of visual saliency, co-saliency detection refers to the discovery of common and salient foregrounds from two or more relevant images, and can be widely used in many computer vision tasks  ...  Co-saliency detection is a newly emerging and rapidly growing research area in computer vision community.  ...  models to improve saliency detection and image segmentation.  ... 
arXiv:1604.07090v5 fatcat:j7zqwqaowndrbcuoazzizkuqr4

Object co-segmentation via discriminative low rank matrix recovery

Yong Li, Jing Liu, Zechao Li, Yang Liu, Hanqing Lu
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
The goal of this paper is to simultaneously segment the object regions appearing in a set of images of the same object class, known as object co-segmentation.  ...  An additional regularized term is imported to jointly measure the disagreement between the predicted saliency and the objectiveness probability corresponding to each super-pixel of the image set.  ...  To this end, we jointly exploit saliency detection and common region mining from a set of images to perform the task of object co-segmentation.  ... 
doi:10.1145/2502081.2502195 dblp:conf/mm/LiLLLL13 fatcat:yyswzsgwbna2nkzwudvyp4yvk4

Image Co-skeletonization via Co-segmentation [article]

Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan
2020 arXiv   pre-print
Different from the existing works geared towards co-segmentation or co-localization, in this paper, we explore a new joint processing topic: image co-skeletonization, which is defined as joint skeleton  ...  Therefore, we propose a coupled framework for co-skeletonization and co-segmentation tasks so that they are well informed by each other, and benefit each other synergistically.  ...  We couple these two tasks to achieve what we call "Image Coskeletonization via Co-segmentation," as shown in Fig. 1 .  ... 
arXiv:2004.05575v1 fatcat:ghzkddg5nrhi3fn2hkkbhyvt3e

Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking

Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Co-saliency detection via looking deep and wide. in CVPR, 2015. [18] Y. Wei, F. Wen, W. Zhu, and J. Sun. Geodesic saliency using background priors. in ECCV, 2012. [19] J. Han, D. Zhang, X.  ...  Saliency detection via graph-based manifold ranking. in in CVPR, 2013. CVPR, 2013. [2] A. Faktor, and M. Irani.  ... 
doi:10.1109/cvpr.2016.81 dblp:conf/cvpr/QuanHZN16 fatcat:2sx72clzkbaz7mzujsgqovzvle

Appearance Fusion of Multiple Cues for Video Co-localization [article]

Koteswar Rao Jerripothula
2020 arXiv   pre-print
Our experiments on YouTube Objects and YouTube Co-localization datasets demonstrate that the proposed method of appearance fusion undoubtedly has an advantage over both the spatial fusion strategy and  ...  This work addresses the joint object discovery problem in videos while utilizing multiple object-related cues.  ...  Moreover, while [16] uses hierarchical segmentation [17] to obtain the co-saliency, we extend the existing image co-saliency idea for videos via a hierarchy.  ... 
arXiv:2003.09556v2 fatcat:yzmgqj7orvfkdij5pmh2qtbdwe

Co-Saliency Detection with Co-Attention Fully Convolutional Network [article]

Guangshuai Gao, Wenting Zhao, Qingjie Liu, Yunhong Wang
2020 arXiv   pre-print
Co-saliency detection aims to detect common salient objects from a group of relevant images.  ...  and uncommon distractors to boost final detection performance.  ...  [1] first raised this question and defined a co-saliency detection task, i.e. to identify and segment common and salient foreground objects from a pair or group of related images.  ... 
arXiv:2008.08909v1 fatcat:ykgayihxrvcp5hac3gv545h7li

Front Matter: Volume 10420

2017 Ninth International Conference on Digital Image Processing (ICDIP 2017)  
Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00  ...  0Q Rapid pedestrian detection algorithm based on deformable part model [10420-58] 0R Object detection via eye tracking and fringe restraint [10420-239] 0S A surface defect detection method based on multi-feature  ...  light calibration and 3D reconstruction based on dual semicircular planar target and rotating laser [10420-51] 16 Visual saliency detection using local patches contrast [10420-241] 17 Dim point target  ... 
doi:10.1117/12.2285445 fatcat:llpbq4ke4fhnton2tfyn6zhhau

Salient object detection: A survey

Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li
2019 Computational Visual Media  
We aim to provide a comprehensive review of recent progress in salient object detection and situate this field among other closely related areas such as generic scene segmentation, object proposal generation  ...  , and saliency for fixation prediction.  ...  Finally, the sigmoid cross entropy loss is used to optimize the model. Li et al. [157] consider joint semantic segmentation and salient object detection.  ... 
doi:10.1007/s41095-019-0149-9 fatcat:rwh3mzauinfj7na5ewo6wfp26e

Salient Object Detection: A Survey [article]

Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li
2018 arXiv   pre-print
We aim to provide a comprehensive review of the recent progress in salient object detection and situate this field among other closely related areas such as generic scene segmentation, object proposal  ...  generation, and saliency for fixation prediction.  ...  Co-saliency detection is closely related to the concept of image co-segmentation that aims to segment similar objects from multiple images [124] , [125] .  ... 
arXiv:1411.5878v5 fatcat:aw7pqd554zdfblokxy2zgp35z4

RGB-D salient object detection: A survey

Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2021 Computational Visual Media  
Finally, we discuss several challenges and open directions of RGB-D based salient object detection for future research.  ...  Further, as light fields can also provide depth maps, we review salient object detection models and popular benchmark datasets from this domain too.  ...  Acknowledgements This research was supported by a Major Project for a New Generation of AI under Grant No. 2018AAA0100400, National Natural Science Foundation of China (61922046), and Tianjin Natural Science  ... 
doi:10.1007/s41095-020-0199-z pmid:33432275 pmcid:PMC7788385 fatcat:foiz2zth4vckjfuhvh524hwdtq

Intelligent Visual Media Processing: When Graphics Meets Vision

Ming-Ming Cheng, Qi-Bin Hou, Song-Hai Zhang, Paul L. Rosin
2017 Journal of Computer Science and Technology  
tools, such as deep neural networks, provide effective ways for learning how to deal with heterogeneous visual data; iii) new data capture devices, such as the Kinect, bridge between algorithms for 2D image  ...  The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the  ...  This research was sponsored by NSFC (NO. 61572264), Huawei Innovation Research Program (HIRP), CAST young talents plan, and Tianjin Short-term Recruitment Program of Foreign Experts.  ... 
doi:10.1007/s11390-017-1681-7 fatcat:j6u7dzfbhfgnlpnluqajjbaxy4

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 5469-5480 Real-Time Correlation Tracking Via Joint Model Compression and Transfer.  ...  Xiao, X., +, TIP 2020 2271- 2286 50 FPS Object-Level Saliency Detection via Maximally Stable Region.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m
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