Meng, F.M.[Fan-Man],
Li, H.L.[Hong-Liang],
Liu, G.H.[Guang-Hui],
Ngan, K.N.[King Ngi],
Object Co-Segmentation Based on Shortest Path Algorithm and Saliency
Model,
MultMed(14), No. 5, 2012, pp. 1429-1441.
IEEE DOI
1210
BibRef
Meng, F.M.[Fan-Man],
Li, H.L.[Hong-Liang],
Liu, G.H.[Guang-Hui],
Ngan, K.N.[King Ngi],
From Logo to Object Segmentation,
MultMed(15), No. 8, December 2013, pp. 2186-2197.
IEEE DOI
1402
Internet
BibRef
Zhang, L.[Lihe],
Liu, Z.Z.[Zhen-Zhen],
Image Cosegmentation Based on Local and Global Level Set Methods,
IJIG(12), No. 3, July 2012, pp. 1250019.
DOI Link
1210
BibRef
Li, Y.L.[Yan-Li],
Zhou, Z.[Zhong],
Wu, W.[Wei],
A hierarchical graph model for object cosegmentation,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link
1303
BibRef
Gao, Z.S.[Zhi-Sheng],
Shi, P.[Peng],
Karimi, H.R.[Hamid Reza],
Pei, Z.[Zheng],
A mutual GrabCut method to solve co-segmentation,
JIVP(2013), No. 1, 2013, pp. 20.
DOI Link
1305
BibRef
Luo, P.[Pei],
Wu, Z.Z.[Zhuang-Zhi],
Xia, C.H.[Chun-He],
Feng, L.[Lu],
Ma, T.[Teng],
Co-segmentation of 3D shapes via multi-view spectral clustering,
VC(29), No. 6-8, June 2013, pp. 587-597.
WWW Link.
1306
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Meng, F.M.[Fan-Man],
Li, H.L.[Hong-Liang],
Ngan, K.N.[King Ngi],
Zeng, L.Y.[Liao-Yuan],
Wu, Q.B.[Qing-Bo],
Feature Adaptive Co-Segmentation by Complexity Awareness,
IP(22), No. 12, 2013, pp. 4809-4824.
IEEE DOI
1312
error statistics
BibRef
Meng, F.M.[Fan-Man],
Li, H.L.[Hong-Liang],
Complexity awareness based feature adaptive co-segmentation,
ICIP13(4059-4063)
IEEE DOI
1402
Co-segmentation;Image Complexity Analysis;Metric Learning
BibRef
Li, H.,
Meng, F.,
Wu, Q.,
Luo, B.,
Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering
and Energy Minimization,
CirSysVideo(24), No. 5, May 2014, pp. 789-801.
IEEE DOI
1405
Clustering algorithms
BibRef
Zhou, C.,
Liu, C.,
Co-segmentation of multiple similar images using saliency detection
and region merging,
IET-CV(8), No. 3, June 2014, pp. 254-261.
DOI Link
1407
BibRef
Wang, C.,
Guo, Y.,
Zhu, J.,
Wang, L.,
Wang, W.,
Video Object Co-Segmentation via Subspace Clustering and Quadratic
Pseudo-Boolean Optimization in an MRF Framework,
MultMed(16), No. 4, June 2014, pp. 903-916.
IEEE DOI
1407
Clustering algorithms
BibRef
Wang, C.,
Zhu, J.,
Guo, Y.,
Wang, W.,
Video Vectorization via Tetrahedral Remeshing,
IP(26), No. 4, April 2017, pp. 1833-1844.
IEEE DOI
1704
Graphics
BibRef
Li, H.L.[Hong-Liang],
Meng, F.M.[Fan-Man],
Luo, B.[Bing],
Zhu, S.Y.[Shu-Yuan],
Repairing Bad Co-Segmentation Using Its Quality Evaluation and
Segment Propagation,
IP(23), No. 8, August 2014, pp. 3545-3559.
IEEE DOI
1408
image segmentation
BibRef
Meng, F.M.[Fan-Man],
Luo, B.[Bing],
Huang, C.[Chao],
Object Co-Segmentation Based on Directed Graph Clustering,
VCIP13(1-5)
IEEE DOI
1402
Markov processes
BibRef
Lou, Z.Y.[Zhong-Yu],
Gevers, T.,
Extracting Primary Objects by Video Co-Segmentation,
MultMed(16), No. 8, December 2014, pp. 2110-2117.
IEEE DOI
1502
Gaussian processes
BibRef
Tao, W.B.[Wen-Bing],
Li, K.Q.[Kun-Qian],
Sun, K.[Kun],
SaCoseg: Object Cosegmentation by Shape Conformability,
IP(24), No. 3, March 2015, pp. 943-955.
IEEE DOI
1502
data mining
BibRef
Li, K.Q.[Kun-Qian],
Tao, W.B.[Wen-Bing],
Adaptive Optimal Shape Prior for Easy Interactive Object Segmentation,
MultMed(17), No. 7, July 2015, pp. 994-1005.
IEEE DOI
1506
Histograms
BibRef
Li, K.Q.[Kun-Qian],
Tao, W.B.[Wen-Bing],
Liao, X.L.[Xiang-Li],
Liu, L.M.[Li-Man],
Automatic Shape Constraint Selection Based Object Segmentation,
EMMCVPR15(249-262).
Springer DOI
1504
BibRef
Yang, B.[Bai],
Yu, H.M.[Hui-Min],
Hu, R.[Roland],
Unsupervised regions based segmentation using object discovery,
JVCIR(31), No. 1, 2015, pp. 125-137.
Elsevier DOI
1508
Cosegmentation
BibRef
Yang, B.[Bai],
Yu, H.M.[Hui-Min],
Xie, Y.[Yi],
Cooperative object search and segmentation in Internet images,
JVCIR(33), No. 1, 2015, pp. 179-192.
Elsevier DOI
1512
Cosegmentation
BibRef
Fu, H.Z.[Hua-Zhu],
Xu, D.[Dong],
Zhang, B.[Bao],
Lin, S.[Stephen],
Ward, R.K.,
Object-Based Multiple Foreground Video Co-Segmentation via
Multi-State Selection Graph,
IP(24), No. 11, November 2015, pp. 3415-3424.
IEEE DOI
1509
BibRef
Earlier: A1, A2, A3, A4, Only:
Object-Based Multiple Foreground Video Co-segmentation,
CVPR14(3166-3173)
IEEE DOI
1409
graph theory.
co-segmentation
BibRef
Fu, H.Z.[Hua-Zhu],
Xu, D.[Dong],
Lin, S.[Stephen],
Object-Based Multiple Foreground Segmentation in RGBD Video,
IP(26), No. 3, March 2017, pp. 1418-1427.
IEEE DOI
1703
graph theory
BibRef
Dong, X.P.[Xing-Ping],
Shen, J.B.[Jian-Bing],
Shao, L.[Ling],
Yang, M.H.[Ming-Hsuan],
Interactive Cosegmentation Using Global and Local Energy Optimization,
IP(24), No. 11, November 2015, pp. 3966-3977.
IEEE DOI
1509
Gaussian processes
BibRef
Meng, F.,
Li, H.,
Zhu, S.,
Luo, B.,
Huang, C.,
Zeng, B.,
Gabbouj, M.,
Constrained Directed Graph Clustering and Segmentation Propagation
for Multiple Foregrounds Cosegmentation,
CirSysVideo(25), No. 11, November 2015, pp. 1735-1748.
IEEE DOI
1511
Clustering algorithms
BibRef
Meng, F.,
Li, H.,
Wu, Q.,
Luo, B.,
Cai, J.,
Huang, C.,
Part propagation for local part segmentation,
VCIP16(1-4)
IEEE DOI
1701
Birds
BibRef
Chakraborty, S.[Souradeep],
Mitra, P.[Pabitra],
A site entropy rate and degree centrality based algorithm for image
co-segmentation,
JVCIR(33), No. 1, 2015, pp. 20-30.
Elsevier DOI
1512
Site entropy rate
BibRef
Chakraborty, S.[Souradeep],
Mitra, P.[Pabitra],
A dense subgraph based algorithm for compact salient image region
detection,
CVIU(145), No. 1, 2016, pp. 1-14.
Elsevier DOI
1604
Visual saliency
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Chang, H.S.[Haw-Shiuan],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Optimizing the decomposition for multiple foreground cosegmentation,
CVIU(141), No. 1, 2015, pp. 18-27.
Elsevier DOI
1512
Multiple foreground cosegmentation
BibRef
Zhu, H.Y.[Hong-Yuan],
Meng, F.M.[Fan-Man],
Cai, J.F.[Jian-Fei],
Lu, S.J.[Shi-Jian],
Beyond pixels: A comprehensive survey from bottom-up to semantic
image segmentation and cosegmentation,
JVCIR(34), No. 1, 2016, pp. 12-27.
Elsevier DOI
1601
Image segmentation
BibRef
Zhu, H.Y.[Hong-Yuan],
Lu, J.B.[Jiang-Bo],
Cai, J.F.[Jian-Fei],
Zheng, J.M.[Jian-Min],
Lu, S.,
Magnenat-Thalmann, N.[Nadia],
Multiple Human Identification and Cosegmentation: A Human-Oriented
CRF Approach With Poselets,
MultMed(18), No. 8, August 2016, pp. 1516-1530.
IEEE DOI
1608
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Poselet-based multiple human identification and cosegmentation,
ICIP14(1076-1080)
IEEE DOI
1502
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Multiple foreground recognition and cosegmentation:
An object-oriented CRF model with robust higher-order potentials,
WACV14(485-492)
IEEE DOI
1406
image capture.
Accuracy
Image segmentation; Robustness
BibRef
Li, K.,
Zhang, J.,
Tao, W.,
Unsupervised Co-Segmentation for Indefinite Number of Common
Foreground Objects,
IP(25), No. 4, April 2016, pp. 1898-1909.
IEEE DOI
1604
Algorithm design and analysis
BibRef
Zhang, J.,
Li, K.,
Tao, W.,
Multivideo Object Cosegmentation for Irrelevant Frames Involved
Videos,
SPLetters(23), No. 6, June 2016, pp. 785-789.
IEEE DOI
1606
graph theory
BibRef
Meng, F.M.[Fan-Man],
Cai, J.F.[Jian-Fei],
Li, H.L.[Hong-Liang],
Cosegmentation of multiple image groups,
CVIU(146), No. 1, 2016, pp. 67-76.
Elsevier DOI
1604
BibRef
Earlier:
On Multiple Image Group Cosegmentation,
ACCV14(IV: 258-272).
Springer DOI
1504
Image segmentation
BibRef
Wang, W.,
Shen, J.,
Higher-Order Image Co-segmentation,
MultMed(18), No. 6, June 2016, pp. 1011-1021.
IEEE DOI
1605
Estimation
BibRef
Jerripothula, K.R.,
Cai, J.,
Yuan, J.,
Image Co-segmentation via Saliency Co-fusion,
MultMed(18), No. 9, September 2016, pp. 1896-1909.
IEEE DOI
1609
feature extraction
BibRef
Jerripothula, K.R.,
Cai, J.,
Lu, J.,
Yuan, J.,
Object Co-skeletonization with Co-segmentation,
CVPR17(3881-3889)
IEEE DOI
1711
Image segmentation, Machine learning, Semantics, Shape, Skeleton, Training
BibRef
Wang, S.P.[Shi-Ping],
Zhang, H.[Handuo],
Wang, H.[Han],
Object co-segmentation via weakly supervised data fusion,
CVIU(155), No. 1, 2017, pp. 43-54.
Elsevier DOI
1702
Computer vision
BibRef
Ma, J.,
Li, S.,
Qin, H.,
Hao, A.,
Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over
L_1-Manifold Hyper-Graph of Discriminative Image Regions,
IP(26), No. 3, March 2017, pp. 1216-1230.
IEEE DOI
1703
data reduction
BibRef
Khuboni, R.[Ray],
Naidoo, B.[Bashan],
Adaptive segmentation for multi-view stereo,
IET-CV(11), No. 1, February 2017, pp. 10-21.
DOI Link
1703
BibRef
Wang, L.[Le],
Hua, G.[Gang],
Sukthankar, R.[Rahul],
Xue, J.R.[Jian-Ru],
Niu, Z.X.[Zhen-Xing],
Zheng, N.N.[Nan-Ning],
Video Object Discovery and Co-Segmentation with Extremely Weak
Supervision,
PAMI(39), No. 10, October 2017, pp. 2074-2088.
IEEE DOI
1709
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
ECCV14(IV: 640-655).
Springer DOI
1408
Color, Image color analysis, Labeling, Minimization,
Object segmentation, Proposals, Shape, Spatial-MILBoost,
Video object discovery, spatio-temporal auto-context model,
video object co-segmentation.
BibRef
Niu, Z.X.[Zhen-Xing],
Hua, G.[Gang],
Wang, L.,
Gao, X.B.[Xin-Bo],
Knowledge-Based Topic Model for Unsupervised Object Discovery and
Localization,
IP(27), No. 1, January 2018, pp. 50-63.
IEEE DOI
1712
Internet, image classification, image retrieval, object detection,
trees (mathematics), LDA, Web images,
topic model
BibRef
Niu, Z.X.[Zhen-Xing],
Hua, G.[Gang],
Gao, X.B.[Xin-Bo],
Tian, Q.[Qi],
Semi-supervised Relational Topic Model for Weakly Annotated Image
Recognition in Social Media,
CVPR14(4233-4240)
IEEE DOI
1409
Image recognition; Social Media; Tag; Topic Model
BibRef
Wang, C.,
Zhang, H.,
Yang, L.,
Cao, X.,
Xiong, H.,
Multiple Semantic Matching on Augmented N-Partite Graph for Object
Co-Segmentation,
IP(26), No. 12, December 2017, pp. 5825-5839.
IEEE DOI
1710
Data mining, Estimation, Histograms,
Merging, Semantics, N-partite graph,
Object co-segmentation, multiple matches, semantic, candidate
BibRef
Yu, W.H.[Wen-Hao],
Identifying and Analyzing the Prevalent Regions of a Co-Location
Pattern Using Polygons Clustering Approach,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link
1710
Given a pattern, find areas where it is also located.
BibRef
Han, J.,
Quan, R.,
Zhang, D.,
Nie, F.,
Robust Object Co-Segmentation Using Background Prior,
IP(27), No. 4, April 2018, pp. 1639-1651.
IEEE DOI
1802
graph theory, image resolution,
image segmentation, inference mechanisms,
self-learned graph
BibRef
Wang, X.G.[Xiao-Gang],
Zhou, B.[Bin],
Wang, Z.J.[Zong-Ji],
Zou, D.Q.[Dong-Qing],
Chen, X.W.[Xiao-Wu],
Zhao, Q.P.[Qin-Ping],
Efficiently consistent affinity propagation for 3D shapes
co-segmentation,
VC(34), No. 6-8, June 2018, pp. 997-1008.
Springer DOI
1806
BibRef
Ren, Y.,
Jiao, L.,
Yang, S.,
Wang, S.,
Mutual Learning Between Saliency and Similarity: Image Cosegmentation
via Tree Structured Sparsity and Tree Graph Matching,
IP(27), No. 9, September 2018, pp. 4690-4704.
IEEE DOI
1807
computational complexity, expectation-maximisation algorithm,
graph theory, image segmentation,
tree-structured sparsity
BibRef
Kong, Y.Q.[Yu-Qiu],
Zhang, J.M.[Jian-Ming],
Lu, H.C.[Hu-Chuan],
Liu, X.P.[Xiu-Ping],
Exemplar-Aided Salient Object Detection via Joint Latent Space
Embedding,
IP(27), No. 10, October 2018, pp. 5167-5177.
IEEE DOI
1808
Object detection, Databases, Task analysis, Semantics,
Image segmentation, Estimation, Training, Salient object detection,
weakly supervised
BibRef
Kamranian, Z.[Zahra],
Tombari, F.[Federico],
Nilchi, A.R.N.[Ahmad Reza Naghsh],
Monadjemi, A.[Amirhassan],
Navab, N.[Nassir],
Co-segmentation via visualization,
JVCIR(55), 2018, pp. 201-214.
Elsevier DOI
1809
Co-segmentation, Convolutional Neural Network (CNN),
Feature visualization, Occlusion sensitivity, Adaptive learning
BibRef
Averbuch-Elor, H.[Hadar],
Kopf, J.[Johannes],
Hazan, T.[Tamir],
Cohen-Or, D.[Daniel],
Co-segmentation for space-time co-located collections,
VC(34), No. 12, December 2018, pp. 1761-1772.
WWW Link.
1811
BibRef
Averbuch-Elor, H.[Hadar],
Bar, N.[Nadav],
Cohen-Or, D.[Daniel],
Border-Peeling Clustering,
PAMI(42), No. 7, July 2020, pp. 1791-1797.
IEEE DOI
2006
Clustering algorithms, Clustering methods, Optics, Kernel,
Data analysis, Manuals, Bandwidth, Clustering, non-parametric techniques
BibRef
Wang, H.,
Huang, D.,
Jia, K.,
Wang, Y.,
Hierarchical Image Segmentation Ensemble for Objectness in RGB-D
Images,
CirSysVideo(29), No. 1, January 2019, pp. 93-103.
IEEE DOI
1901
Proposals, Merging, Image segmentation, Image edge detection,
Object detection, Object proposal, RGB-D data, segmentation
BibRef
Liu, J.C.[Jun-Cheng],
Rosin, P.L.[Paul L.],
Sun, X.F.[Xian-Fang],
Xiao, J.G.[Jian-Guo],
Lian, Z.H.[Zhou-Hui],
Image-driven unsupervised 3D model co-segmentation,
VC(35), No. 6-8, June 2018, pp. 909-920.
Springer DOI
1906
BibRef
Tao, Z.,
Liu, H.,
Fu, H.,
Fu, Y.,
Multi-View Saliency-Guided Clustering for Image Cosegmentation,
IP(28), No. 9, Sep. 2019, pp. 4634-4645.
IEEE DOI
1908
Clustering algorithms, Robustness, Task analysis,
Partitioning algorithms, Optimization, Computational modeling,
multi-view learning
BibRef
Li, J.,
Yuan, P.,
Gu, D.,
Tian, Y.,
Hierarchical Deep Cosegmentation of Primary Objects in Aerial Videos,
MultMedMag(26), No. 3, July 2019, pp. 9-18.
IEEE DOI
1909
Videos, Avalanche photodiodes, Object segmentation, Task analysis,
Drones, Training, Image segmentation, Unmanned aerial vehicles, Object detection
BibRef
Merdassi, H.[Hager],
Barhoumi, W.[Walid],
Zagrouba, E.[Ezzeddine],
Optimisation of linear dependence energy for object co-segmentation in
a set of images with heterogeneous contents,
IET-IPR(14), No. 1, January 2020, pp. 201-210.
DOI Link
1912
BibRef
Yu, M.Q.[Meng-Qiao],
Liu, X.B.[Xia-Bi],
Wang, M.[Murong],
Han, G.H.[Guang-Hui],
A new challenging image dataset with simple background for evaluating
and developing co-segmentation algorithms,
SP:IC(83), 2020, pp. 115813.
Elsevier DOI
2003
Image co-segmentation, Image dataset, Evaluation, Review
BibRef
Ren, Y.[Yan],
Kong, A.W.K.[Adams Wai Kin],
Jiao, L.C.[Li-Cheng],
A survey on image and video cosegmentation:
Methods, challenges and analyses,
PR(103), 2020, pp. 107297.
Elsevier DOI
2005
Survey, Co-Segmentation. Image cosegmentation, Video cosegmentation
BibRef
Kim, S.H.[Seong-Heum],
Hwang, Y.[Youngbae],
Kweon, I.S.[In So],
Category-specific upright orientation estimation for 3D model
classification and retrieval,
IVC(96), 2020, pp. 103900.
Elsevier DOI
2005
Model-based 3D reconstruction, Multi-view object co-segmentation,
3D model classification retrieval
BibRef
Peng, J.Z.[Ji-Zong],
Estrada, G.[Guillermo],
Pedersoli, M.[Marco],
Desrosiers, C.[Christian],
Deep co-training for semi-supervised image segmentation,
PR(107), 2020, pp. 107269.
Elsevier DOI
2008
Deep learning, Semi-supervised learning, Ensemble learning,
Co-training, Image segmentation
BibRef
Gong, X.P.[Xiao-Peng],
Liu, X.B.[Xia-Bi],
Li, Y.S.[Yu-Shuo],
Li, H.Y.[Hui-Yu],
A novel co-attention computation block for deep learning based image
co-segmentation,
IVC(101), 2020, pp. 103973.
Elsevier DOI
2009
Visual co-attention, Image co-segmentation, Deep learning,
Correlation calculation, Average pooling
BibRef
Wang, T.[Tao],
Ji, Z.X.[Ze-Xuan],
Yang, J.[Jian],
Sun, Q.S.[Quan-Sen],
Shen, X.B.[Xiao-Bo],
Ren, Z.W.[Zhen-Wen],
Ge, Q.[Qi],
Label group diffusion for image and image pair segmentation,
PR(112), 2021, pp. 107789.
Elsevier DOI
2102
Image segmentation, Image pair co-segmentation,
Label group diffusion, Geometry manifold, Tensor product graph
BibRef
Wang, L.[Le],
Lv, X.[Xin],
Zhang, Q.L.[Qi-Lin],
Niu, Z.X.[Zhen-Xing],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Object Cosegmentation in Noisy Videos With Multilevel Hypergraph,
MultMed(23), 2021, pp. 1287-1300.
IEEE DOI
2105
BibRef
Earlier: A2, A1, A3, A5, A6, Only:
Video Object Co-Segmentation from Noisy Videos by a Multi-Level
Hypergraph Model,
ICIP18(2207-2211)
IEEE DOI
1809
Videos, Proposals, Computational modeling, Object segmentation,
Noise measurement, Semantics, Task analysis, Object cosegmentation,
fully convolutional network.
Matrix decomposition, Robustness, Color, Object co-segmentation, Object model.
BibRef
Awan, M.[Mehwish],
Shin, J.[Jitae],
Semantic video segmentation with dynamic keyframe selection and
distortion-aware feature rectification,
IVC(110), 2021, pp. 104184.
Elsevier DOI
2106
Propogate the segmentation through the video.
Semantic video segmentation, Feature warping,
Distortion-aware feature correction, Policy network, Deep learning
BibRef
Zhang, C.[Chi],
Li, G.K.[Guan-Kai],
Lin, G.S.[Guo-Sheng],
Wu, Q.Y.[Qing-Yao],
Yao, R.[Rui],
CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region
Correspondence,
IP(30), 2021, pp. 5652-5664.
IEEE DOI
2106
Task analysis, Image segmentation, Semantics, Image representation,
Predictive models, Neural networks, Visualization, Deep learning,
attention
BibRef
Fang, B.[Bo],
Chen, G.[Gang],
Chen, J.[Jifa],
Ouyang, G.C.[Gui-Chong],
Kou, R.[Rong],
Wang, L.[Lizhe],
CCT: Conditional Co-Training for Truly Unsupervised Remote Sensing
Image Segmentation in Coastal Areas,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Peng, J.R.[Jun-Ran],
Wang, H.Q.[Hao-Quan],
Yue, S.L.[Shao-Long],
Zhang, Z.X.[Zhao-Xiang],
Context-aware co-supervision for accurate object detection,
PR(121), 2022, pp. 108199.
Elsevier DOI
2109
Object detection, Co-supervised, Contextual cues
BibRef
Zhang, Z.X.[Zhao-Xiang],
Pan, C.[Cong],
Peng, J.R.[Jun-Ran],
Delving into the Effectiveness of Receptive Fields: Learning
Scale-Transferrable Architectures for Practical Object Detection,
IJCV(130), No. 1, January 2022, pp. 970-989.
Springer DOI
2204
BibRef
Wen, Y.[Yang],
Chen, L.T.[Lei-Ting],
Deng, Y.[Yu],
Ning, J.[Jin],
Zhou, C.[Chuan],
Towards better semantic consistency of 2D medical image segmentation,
JVCIR(80), 2021, pp. 103311.
Elsevier DOI
2110
Image segmentation, Convolutional neural network, Semantics, Deep learning
BibRef
He, L.Q.[Li-Qiang],
Xia, L.[Lu],
Luo, J.J.[Jia-Jia],
Zhang, K.[Ke],
Sun, Y.Y.[Yu-Yin],
Qiao, N.[Nan],
Kuo, C.H.[Cheng-Hao],
Todorovic, S.[Sinisa],
A polar-edge context-aware (PECA) network for mirror segmentation,
IVC(121), 2022, pp. 104402.
Elsevier DOI
2205
BibRef
Gui, Y.[Yan],
Zhou, B.Q.[Bing-Qiang],
Zhang, J.M.[Jian-Ming],
Sun, C.[Cheng],
Xiang, L.Y.[Ling-Yun],
Zhang, J.[Jin],
Learning interactive multi-object segmentation through appearance
embedding and spatial attention,
IET-IPR(16), No. 10, 2022, pp. 2722-2737.
DOI Link
2207
BibRef
Li, H.F.[Hai-Feng],
Guo, W.H.[Wei-Hong],
Liu, J.[Jun],
Cui, L.[Li],
Xie, D.X.[Dong-Xing],
Image Segmentation with Adaptive Spatial Priors from Joint
Registration,
SIIMS(15), No. 3, 2022, pp. 1314-1344.
DOI Link
2208
BibRef
Zhu, Z.Y.[Zi-Yue],
Zhang, Z.[Zhao],
Lin, Z.[Zheng],
Sun, X.[Xing],
Cheng, M.M.[Ming-Ming],
Co-Salient Object Detection With Co-Representation Purification,
PAMI(45), No. 7, July 2023, pp. 8193-8205.
IEEE DOI
2306
Object detection, Feature extraction, Correlation, Purification,
Search problems, Task analysis, Visualization, salient object detection
BibRef
Qian, X.L.[Xiao-Liang],
Zeng, Y.F.[Yin-Feng],
Wang, W.[Wei],
Zhang, Q.W.[Qiu-Wen],
Co-Saliency Detection Guided by Group Weakly Supervised Learning,
MultMed(25), 2023, pp. 1810-1818.
IEEE DOI
2306
Feature extraction, Supervised learning, Training, Deep learning,
Artificial neural networks, Mathematical models, Industries,
group weakly supervised learning
BibRef
Ge, Y.L.[Yan-Liang],
Zhang, Q.[Qiao],
Xiang, T.Z.[Tian-Zhu],
Zhang, C.[Cong],
Bi, H.B.[Hong-Bo],
TCNet: Co-Salient Object Detection via Parallel Interaction of
Transformers and CNNs,
CirSysVideo(33), No. 6, June 2023, pp. 2600-2615.
IEEE DOI
2306
Transformers, Object detection, Feature extraction, Semantics,
Decoding, Visualization, Task analysis,
attention mechanism
BibRef
Ma, L.[Lei],
Zhao, F.[Fan],
Hong, H.Y.[Han-Yu],
Wang, L.[Lei],
Zhu, Y.[Ying],
Complementary Parts Contrastive Learning for Fine-Grained Weakly
Supervised Object Co-Localization,
CirSysVideo(33), No. 11, November 2023, pp. 6635-6648.
IEEE DOI Code:
WWW Link.
2311
BibRef
Zhang, K.[Kaihua],
Wu, Y.[Yang],
Dong, M.L.[Ming-Liang],
Liu, B.[Bo],
Liu, D.[Dong],
Liu, Q.S.[Qing-Shan],
Deep Object Co-Segmentation and Co-Saliency Detection via High-Order
Spatial-Semantic Network Modulation,
MultMed(25), 2023, pp. 5733-5746.
IEEE DOI
2311
BibRef
Su, Y.K.[Yu-Kun],
Deng, J.L.[Jing-Liang],
Sun, R.Z.[Rui-Zhou],
Lin, G.S.[Guo-Sheng],
Su, H.[Hanjing],
Wu, Q.Y.[Qing-Yao],
A Unified Transformer Framework for Group-Based Segmentation:
Co-Segmentation, Co-Saliency Detection and Video Salient Object
Detection,
MultMed(26), 2024, pp. 313-325.
IEEE DOI
2401
BibRef
Zhou, W.[Wujie],
Cai, Y.Q.[Yu-Qi],
Zhang, L.[Liting],
Yan, W.Q.[Wei-Qing],
Yu, L.[Lu],
UTLNet: Uncertainty-Aware Transformer Localization Network for
RGB-Depth Mirror Segmentation,
MultMed(26), 2024, pp. 4564-4574.
IEEE DOI
2403
Mirrors, Image segmentation, Feature extraction, Transformers,
Uncertainty, Semantic segmentation, Semantics,
transformer
BibRef
Chen, X.Y.[Xiao-Yang],
Liu, Q.[Qin],
Deng, H.H.[Hannah H.],
Kuang, T.S.[Tian-Shu],
Lin, H.H.Y.[Henry Hung-Ying],
Xiao, D.Q.[De-Qiang],
Gateno, J.[Jaime],
Xia, J.J.[James J.],
Yap, P.T.[Pew-Thian],
Improving image segmentation with contextual and structural
similarity,
PR(152), 2024, pp. 110489.
Elsevier DOI
2405
Image segmentation, Inter-voxel relationships,
Cone-beam computed tomography, Pancreas segmentation
BibRef
Gaikwad, A.V.[Akshay V.],
Varma, H.[Harshit],
Awate, S.P.[Suyash P.],
Deep Variational Segmentation of Topology-Constrained Object Sets,
with Correlated Uncertainty Models, for Robustness to Degradations,
ICIP23(2195-2199)
IEEE DOI
2312
BibRef
Shen, X.[Xi],
Efros, A.A.[Alexei A.],
Joulin, A.[Armand],
Aubry, M.[Mathieu],
Learning Co-segmentation by Segment Swapping for Retrieval and
Discovery,
IMW22(5078-5088)
IEEE DOI
2210
Training, Image segmentation, Oils, Training data,
Computer architecture, Oil insulation, Transformers
BibRef
Jeppesen, N.[Niels],
Jensen, P.M.[Patrick M.],
Christensen, A.N.[Anders N.],
Dahl, A.B.[Anders B.],
Dahl, V.A.[Vedrana A.],
Faster Multi-Object Segmentation using Parallel Quadratic
Pseudo-Boolean Optimization,
ICCV21(6240-6249)
IEEE DOI
2203
Image segmentation, Scalability, Instruction sets, Merging, Hardware,
Partitioning algorithms, Optimization and learning methods,
grouping and shape
BibRef
Teotia, R.[Revant],
Mishra, V.[Vaibhav],
Maheshwari, M.[Mayank],
Mishra, A.[Anand],
Few-Shot Visual Relationship Co-Localization,
ICCV21(16322-16331)
IEEE DOI
2203
Visualization, Annotations, Benchmark testing,
Inference algorithms, Complexity theory,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Vaidya, J.[Jayesh],
Subramaniam, A.[Arulkumar],
Mittal, A.[Anurag],
Co-Segmentation Aided Two-Stream Architecture for Video Captioning,
WACV22(2442-2452)
IEEE DOI
2202
Visualization, Computational modeling, Pipelines,
Detectors, Computer architecture, Benchmark testing,
Vision and Languages Deep Learning
BibRef
Liu, Q.D.[Quan-De],
Chen, C.[Cheng],
Qin, J.[Jing],
Dou, Q.[Qi],
Heng, P.A.[Pheng-Ann],
FedDG: Federated Domain Generalization on Medical Image Segmentation
via Episodic Learning in Continuous Frequency Space,
CVPR21(1013-1023)
IEEE DOI
2111
Image segmentation, Interpolation, Privacy, Hospitals,
Frequency-domain analysis, Predictive models, Collaborative work
BibRef
Banerjee, S.[Sayan],
Bhat, S.D.[S Divakar],
Chaudhuri, S.[Subhasis],
Velmurugan, R.[Rajbabu],
Directed Variational Cross-encoder Network for Few-shot Multi-image
Co-segmentation,
ICPR21(8431-8438)
IEEE DOI
2105
Training, Semantics, Training data, Pattern recognition
BibRef
Saboo, S.[Shivam],
Lefebvre, F.[Frederic],
Demoulin, V.[Vincent],
Deep Learning And Interactivity For Video Rotoscoping,
ICIP20(643-647)
IEEE DOI
2011
co-segmentation extended to video.
Decoding, Training, Feature extraction,
Image segmentation, Convolution, Video sequences
BibRef
Zhu, C.,
Xu, K.,
Chaudhuri, S.,
Yi, L.,
Guibas, L.J.,
Zhang, H.,
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss,
CVPR20(8540-8549)
IEEE DOI
2008
Shape, Labeling, Adaptive systems,
Noise measurement, Adaptation models, Image segmentation
BibRef
Jeppesen, N.,
Christensen, A.N.,
Dahl, V.A.,
Dahl, A.B.,
Sparse Layered Graphs for Multi-Object Segmentation,
CVPR20(12774-12782)
IEEE DOI
2008
Image segmentation, Complexity theory, Task analysis,
Geometry, Labeling, Spatial resolution
BibRef
Yao, Y.,
Park, H.S.,
Multiview Co-segmentation for Wide Baseline Images using Cross-view
Supervision,
WACV20(1931-1940)
IEEE DOI
2006
Image segmentation, Shape, Videos,
Cameras, Visualization, Solid modeling
BibRef
Li, B.[Bo],
Sun, Z.X.[Zheng-Xing],
Li, Q.[Qian],
Wu, Y.J.[Yun-Jie],
Hu, A.Q.[An-Qi],
Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent
Neural Network,
ICCV19(8518-8527)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image representation, image resolution, image segmentation
BibRef
Chen, Z.,
Yin, K.,
Fisher, M.,
Chaudhuri, S.,
Zhang, H.,
BAE-NET: Branched Autoencoder for Shape Co-Segmentation,
ICCV19(8489-8498)
IEEE DOI
2004
Code, Convolutional Neural Networks.
WWW Link. convolutional neural nets, feature extraction,
image reconstruction, image representation, image segmentation, Training
BibRef
Hung, W.C.[Wei-Chih],
Jampani, V.[Varun],
Liu, S.F.[Si-Fei],
Molchanov, P.[Pavlo],
Yang, M.H.[Ming-Hsuan],
Kautz, J.[Jan],
SCOPS: Self-Supervised Co-Part Segmentation,
CVPR19(869-878).
IEEE DOI
2002
BibRef
Mohammed, H.M.,
El-Sheimy, N.,
Segmentation of Image Pairs for 3d Reconstruction,
PIA19(175-180).
DOI Link
1912
BibRef
Chen, H.[Hong],
Huang, Y.F.[Yi-Fei],
Nakayama, H.[Hideki],
Semantic Aware Attention Based Deep Object Co-segmentation,
ACCV18(IV:435-450).
Springer DOI
1906
BibRef
Jafari, O.[Omid],
Nagarkar, P.[Parth],
Montaño, J.[Jonathan],
Jafari, O.,
Nagarkar, P.,
Montaño, J.,
Efficient Bitmap-based Indexing and Retrieval of Similarity Search
Image Queries,
SSIAI20(58-61)
IEEE DOI
2009
feature extraction, image retrieval, indexing,
feature extraction algorithms, locality sensitive hashing.
BibRef
Li, W.H.[Wei-Hao],
Jafari, O.H.[Omid Hosseini],
Rother, C.[Carsten],
Deep Object Co-segmentation,
ACCV18(III:638-653).
Springer DOI
1906
BibRef
Wu, Z.X.[Zu-Xuan],
Davis, L.S.[Larry S.],
Sigal, L.[Leonid],
Weakly-Supervised Spatial Context Networks,
WACV19(1253-1261)
IEEE DOI
1904
image classification, image reconstruction, image representation,
object detection, unsupervised learning,
Decoding
BibRef
Alvarez Padilla, F.J.,
Romaniuk, B.,
Naegel, B.,
Servaui-Vernat, S.,
Papathanassiou, D.,
Passat, N.,
Matching Filtering by Region-Based Attributes on Hierachical
Structures for Image Co-Segmentation,
ICIP18(131-135)
IEEE DOI
1809
Tumors, Image segmentation, Protocols, Computed tomography, Cancer,
Correlation, Biomedical imaging, Matching, segmentation,
region-based attributes
BibRef
Hati, A.,
Chaudhuri, S.,
Velmurugan, R.,
Co-Segmentation of Non-Homogeneous Image Sets,
ICIP18(266-270)
IEEE DOI
1809
Image segmentation, Robustness, Convergence,
Linear discriminant analysis, Clustering algorithms, Labeling, superpixel
BibRef
Es-Salhi, R.,
Daoudi, I.,
Ouardi, H.E.,
A new semi-supervised method for image co-segmentation,
IPTA17(1-6)
IEEE DOI
1804
image segmentation, object detection, foreground object,
image co-segmentation, image collection,
semi-supervised algorithm
BibRef
Yang, W.C.[Wei-Chen],
Sun, Z.X.[Zheng-Xing],
Li, B.[Bo],
Hu, J.G.[Jia-Gao],
Yang, K.W.[Ke-Wei],
Unsupervised Multiple Object Cosegmentation via Ensemble MIML Learning,
MMMod17(II: 393-404).
Springer DOI
1701
BibRef
Quan, R.,
Han, J.,
Zhang, D.,
Nie, F.,
Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking,
CVPR16(687-695)
IEEE DOI
1612
BibRef
Jain, S.D.[Suyog Dutt],
Grauman, K.[Kristen],
Active Image Segmentation Propagation,
CVPR16(2864-2873)
IEEE DOI
1612
BibRef
Earlier:
Supervoxel-Consistent Foreground Propagation in Video,
ECCV14(IV: 656-671).
Springer DOI
1408
BibRef
Jain, S.D.[Suyog Dutt],
Grauman, K.[Kristen],
Which Image Pairs Will Cosegment Well? Predicting Partners for
Cosegmentation,
ACCV14(III: 175-190).
Springer DOI
1504
BibRef
Jain, S.D.[Suyog Dutt],
Grauman, K.[Kristen],
Predicting Sufficient Annotation Strength for Interactive Foreground
Segmentation,
ICCV13(1313-1320)
IEEE DOI
1403
BibRef
Vijayanarasimhan, S.[Sudheendra],
Grauman, K.[Kristen],
Active Frame Selection for Label Propagation in Videos,
ECCV12(V: 496-509).
Springer DOI
1210
Hand label some and propagate labels to the others.
BibRef
Kim, J.[Jaechul],
Grauman, K.[Kristen],
Shape Sharing for Object Segmentation,
ECCV12(VII: 444-458).
Springer DOI
1210
BibRef
Taniai, T.,
Sinha, S.N.,
Sato, Y.,
Joint Recovery of Dense Correspondence and Cosegmentation in Two
Images,
CVPR16(4246-4255)
IEEE DOI
1612
BibRef
Shi, W.,
Zhu, H.,
Yang, L.,
Luo, Y.,
Shape based co-segmentation repairing by segment evaluation and
object proposals,
VCIP16(1-4)
IEEE DOI
1701
Computational modeling
BibRef
Araslanov, N.[Nikita],
Koo, S.Y.[Seong-Yong],
Gall, J.[Juergen],
Behnke, S.[Sven],
Efficient Single-View 3D Co-segmentation Using Shape Similarity and
Spatial Part Relations,
GCPR16(297-308).
Springer DOI
1611
BibRef
Hati, A.[Avik],
Chaudhuri, S.[Subhasis],
Velmurugan, R.[Rajbabu],
Image Co-segmentation Using Maximum Common Subgraph Matching and Region
Co-growing,
ECCV16(VI: 736-752).
Springer DOI
1611
BibRef
Zhong, G.Y.[Guang-Yu],
Tsai, Y.H.[Yi-Hsuan],
Yang, M.H.[Ming-Hsuan],
Weakly-Supervised Video Scene Co-parsing,
ACCV16(I: 20-36).
Springer DOI
1704
BibRef
Earlier: A2, A1, A3:
Semantic Co-segmentation in Videos,
ECCV16(IV: 760-775).
Springer DOI
1611
BibRef
Yao, J.,
Nielsen, F.,
SSSC-AM: A unified framework for video co-segmentation by structured
sparse subspace clustering with appearance and motion features,
ICIP16(3957-3961)
IEEE DOI
1610
Clustering algorithms
BibRef
Yang, M.Y.[Michael Ying],
Reso, M.[Matthias],
Tang, J.[Jun],
Liao, W.T.[Wen-Tong],
Rosenhahn, B.[Bodo],
Temporally Object-Based Video Co-segmentation,
ISVC15(I: 198-209).
Springer DOI
1601
BibRef
Fu, Z.H.[Zhi-Hui],
Wang, B.T.[Bo-Tao],
Xiong, H.K.[Hong-Kai],
Transductive video co-segmentation on the temporal trees,
ICIP15(4471-4475)
IEEE DOI
1512
Video segmentation; co-segmentation; mixture model; transductive learning
BibRef
Lattari, L.[Lucas],
Montenegro, A.[Anselmo],
Vasconcelos, C.[Cristina],
Unsupervised cosegmentation based on global clustering and saliency,
ICIP15(2890-2894)
IEEE DOI
1512
Cosaliency
BibRef
Lüddecke, T.[Timo],
Can Cosegmentation Improve the Object Detection Quality?,
GCPR14(722-728).
Springer DOI
1411
BibRef
Zhang, Q.A.[Qi-Ang],
Zhou, J.Y.[Jia-Yu],
Wang, Y.[Yilin],
Ye, J.P.[Jie-Ping],
Li, B.X.[Bao-Xin],
Image Cosegmentation via Multi-task Learning,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Lin, B.C.[Bo-Chen],
Chen, D.J.[Ding-Jie],
Chang, L.W.[Long-Wen],
Unsupervised Image Co-segmentation Based on Cooperative Game,
ACCV14(III: 51-63).
Springer DOI
1504
BibRef
Yu, H.K.[Hong-Kai],
Xian, M.[Min],
Qi, X.J.[Xiao-Jun],
Unsupervised co-segmentation based on a new global GMM constraint in
MRF,
ICIP14(4412-4416)
IEEE DOI
1502
Computational modeling
BibRef
Yuan, Z.H.[Ze-Huan],
Lu, T.[Tong],
A Novel Context-Aware Topic Model for Category Discovery in Natural
Scenes,
ACCV14(IV: 158-171).
Springer DOI
1504
BibRef
Yuan, Z.H.[Ze-Huan],
Lu, T.[Tong],
Shivakumara, P.[Palaiahnakote],
A Novel Topic-Level Random Walk Framework for Scene Image
Co-segmentation,
ECCV14(I: 695-709).
Springer DOI
1408
BibRef
Wang, Z.X.[Zheng-Xiang],
Liu, R.J.[Ru-Jie],
Semi-supervised Learning for Large Scale Image Cosegmentation,
ICCV13(393-400)
IEEE DOI
1403
Binary quadratic programming problem
BibRef
Dai, J.F.[Ji-Feng],
Wu, Y.N.[Ying Nian],
Zhou, J.[Jie],
Zhu, S.C.[Song-Chun],
Cosegmentation and Cosketch by Unsupervised Learning,
ICCV13(1305-1312)
IEEE DOI
1403
BibRef
Pu, S.T.[Song-Tao],
Kong, J.[Jing],
Ying, X.H.[Xiang-Hua],
Zha, H.B.[Hong-Bin],
Automatic Object Cosegmentation in Sparse Multiview Images,
ACPR13(902-906)
IEEE DOI
1408
feature extraction
BibRef
Ma, T.Y.[Tian-Yang],
Latecki, L.J.[Longin Jan],
Graph Transduction Learning with Connectivity Constraints with
Application to Multiple Foreground Cosegmentation,
CVPR13(1955-1962)
IEEE DOI
1309
BibRef
Chiu, W.C.[Wei-Chen],
Fritz, M.[Mario],
Multi-class Video Co-segmentation with a Generative Multi-video Model,
CVPR13(321-328)
IEEE DOI
1309
Nonparametric Bayesian; Video Cosegmentation
BibRef
Rubio, J.C.[Jose C.],
Serrat, J.[Joan],
López, A.[Antonio],
Paragios, N.[Nikos],
Unsupervised co-segmentation through region matching,
CVPR12(749-756).
IEEE DOI
1208
BibRef
And: A1, A2, A3, Only:
Video Co-segmentation,
ACCV12(II:13-24).
Springer DOI
1304
BibRef
Zhang, S.J.[Shi-Jie],
Feng, W.[Wei],
Wan, L.[Liang],
Zhang, J.W.[Jia-Wan],
Jiang, J.M.[Jian-Min],
Scalable image co-segmentation using color and covariance features,
ICPR12(3708-3711).
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1302
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Wang, L.[Le],
Xue, J.R.[Jian-Ru],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
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ICPR12(3309-3312).
WWW Link.
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ICPR12(890-893).
WWW Link.
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Kowdle, A.[Adarsh],
Sinha, S.N.[Sudipta N.],
Szeliski, R.S.[Richard S.],
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ECCV12(V: 789-803).
Springer DOI
1210
BibRef
Chai, Y.N.[Yu-Ning],
Rahtu, E.[Esa],
Lempitsky, V.[Victor],
Van Gool, L.J.[Luc J.],
Zisserman, A.[Andrew],
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for
Image Classification,
ECCV12(I: 794-807).
Springer DOI
1210
BibRef
Chai, Y.N.[Yu-Ning],
Lempitsky, V.[Victor],
Zisserman, A.[Andrew],
BiCoS: A Bi-level co-segmentation method for image classification,
ICCV11(2579-2586).
IEEE DOI
1201
BibRef
Kim, G.H.[Gun-Hee],
Xing, E.P.[Eric P.],
On multiple foreground cosegmentation,
CVPR12(837-844).
IEEE DOI
1208
BibRef
Kim, G.H.[Gun-Hee],
Xing, E.P.[Eric P.],
Fei-Fei, L.[Li],
Kanade, T.[Takeo],
Distributed cosegmentation via submodular optimization on anisotropic
diffusion,
ICCV11(169-176).
IEEE DOI
1201
Saliency greater if region in many images. Segment common regions
in multiple image.
BibRef
Joulin, A.[Armand],
Bach, F.[Francis],
Ponce, J.[Jean],
Multi-class cosegmentation,
CVPR12(542-549).
IEEE DOI
1208
BibRef
Earlier:
Discriminative clustering for image co-segmentation,
CVPR10(1943-1950).
IEEE DOI
1006
simultaneously divide multiple images. Combine bottom up segmentation with
object recognition tools.
BibRef
Mukherjee, L.[Lopamudra],
Singh, V.[Vikas],
Peng, J.M.[Ji-Ming],
Scale invariant cosegmentation for image groups,
CVPR11(1881-1888).
IEEE DOI
1106
BibRef
Mukherjee, L.[Lopamudra],
Singh, V.[Vikas],
Dyer, C.R.[Charles R.],
Half-integrality based algorithms for cosegmentation of images,
CVPR09(2028-2035).
IEEE DOI
0906
Segment same object in pair of images.
Segment each with constraint from the other.
BibRef
Kim, E.[Edward],
Li, H.S.[Hong-Sheng],
Huang, X.L.[Xiao-Lei],
A hierarchical image clustering cosegmentation framework,
CVPR12(686-693).
IEEE DOI
1208
BibRef
Chu, W.S.[Wen-Sheng],
Chen, C.P.[Chia-Ping],
Chen, C.S.[Chu-Song],
MOMI-Cosegmentation: Simultaneous Segmentation of Multiple Objects
among Multiple Images,
ACCV10(I: 355-368).
Springer DOI
1011
BibRef
Hochbaum, D.S.[Dorit S.],
Singh, V.[Vikas],
An efficient algorithm for Co-segmentation,
ICCV09(269-276).
IEEE DOI
0909
BibRef
Mu, Y.D.[Ya-Dong],
Zhou, B.F.[Bing-Feng],
Co-segmentation of Image Pairs with Quadratic Global Constraint in MRFs,
ACCV07(II: 837-846).
Springer DOI
0711
BibRef
Cheng, D.S.[Dong Seon],
Figueiredo, M.A.T.[Mario A.T.],
Cosegmentation for Image Sequences,
CIAP07(635-640).
IEEE DOI
0709
Simultaneous segmentation of the same features in multiple images.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Co-Salient Detection .