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IEEE DOI
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Springer DOI
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object detection
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L_0 smoothing filter
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IEEE DOI
1309
Saliency detection
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Adaptive tag ranking
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Computer vision
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1402
image segmentation
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Elsevier DOI
1402
Salient object detection
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PR(47), No. 4, 2014, pp. 1740-1750.
Elsevier DOI
1402
Salient object detection
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Zhou, L.[Lei],
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Elsevier DOI
1403
Saliency object detection
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Zhu, Z.F.[Zhen-Feng],
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IVC(32), No. 3, 2014, pp. 180-188.
Elsevier DOI
1403
Saliency detection
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Huang, M.,
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IEEE DOI
2011
Feature extraction, Distortion, Integrated circuits,
Object detection, Fuses, Faces,
multi-level features adaptation
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Elsevier DOI
1407
Object detection
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IET-CV(8), No. 3, June 2014, pp. 207-215.
DOI Link
1407
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Saliency detection in complex scenes,
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DOI Link
1407
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Tian, H.W.[Hua-Wei],
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Zhu, Z.F.[Zhen-Feng],
Salient Region Detection by Fusing Bottom-Up and Top-Down Features
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IP(23), No. 10, October 2014, pp. 4389-4398.
IEEE DOI
1410
feature extraction
BibRef
Kannan, R.,
Ghinea, G.,
Swaminathan, S.,
Salient Region Detection Using Patch Level and Region Level Image
Abstractions,
SPLetters(22), No. 6, June 2015, pp. 686-690.
IEEE DOI
1411
BibRef
Scharfenberger, C.[Christian],
Wong, A.[Alexander],
Clausi, D.A.[David A.],
Structure-Guided Statistical Textural Distinctiveness for Salient
Region Detection in Natural Images,
IP(24), No. 1, January 2015, pp. 457-470.
IEEE DOI
1502
edge detection
BibRef
Scharfenberger, C.[Christian],
Wong, A.[Alexander],
Fergani, K.[Khalil],
Zelek, J.S.[John S.],
Clausi, D.A.[David A.],
Statistical Textural Distinctiveness for Salient Region Detection in
Natural Images,
CVPR13(979-986)
IEEE DOI
1309
Statistical textural distinctiveness
BibRef
Zhang, L.,
Yuan, X.,
Salient Object Detection with Higher Order Potentials and Learning
Affinity,
SPLetters(22), No. 9, September 2015, pp. 1396-1399.
IEEE DOI
1503
Computational modeling
BibRef
Singh, N.[Navjot],
Agrawal, R.K.,
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SIViP(9), No. 2, February 2015, pp. 427-435.
WWW Link.
1503
BibRef
Sun, J.,
Lu, H.,
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Saliency Region Detection Based on Markov Absorption Probabilities,
IP(24), No. 5, May 2015, pp. 1639-1649.
IEEE DOI
1504
Absorption
BibRef
Kong, L.F.[Ling-Fu],
Duan, L.L.[Liang-Liang],
Yang, W.J.[Wen-Ji],
Dou, Y.[Yan],
Salient region detection:
An integration approach based on image pyramid and region property,
IET-CV(9), No. 1, 2015, pp. 85-97.
DOI Link
1504
BibRef
Li, H.,
Lu, H.,
Lin, Z.,
Shen, X.,
Price, B.,
Inner and Inter Label Propagation:
Salient Object Detection in the Wild,
IP(24), No. 10, October 2015, pp. 3176-3186.
IEEE DOI
1507
Benchmark testing
BibRef
Han, J.W.[Jun-Wei],
Zhang, D.W.[Ding-Wen],
Hu, X.T.[Xin-Tao],
Guo, L.[Lei],
Ren, J.C.[Jin-Chang],
Wu, F.[Feng],
Background Prior-Based Salient Object Detection via Deep
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CirSysVideo(25), No. 8, August 2015, pp. 1309-1321.
IEEE DOI
1508
Encoding
BibRef
Zou, W.B.[Wen-Bin],
Liu, Z.[Zhi],
Kpalma, K.,
Ronsin, J.,
Zhao, Y.[Yong],
Komodakis, N.,
Unsupervised Joint Salient Region Detection and Object Segmentation,
IP(24), No. 11, November 2015, pp. 3858-3873.
IEEE DOI
1509
Markov processes
BibRef
Zhou, L.[Li],
Yang, Z.H.[Zhao-Hui],
Yuan, Q.[Qing],
Zhou, Z.T.[Zong-Tan],
Hu, D.[Dewen],
Salient Region Detection via Integrating Diffusion-Based Compactness
and Local Contrast,
IP(24), No. 11, November 2015, pp. 3308-3320.
IEEE DOI
1509
computer vision
BibRef
Zhou, L.[Li],
Yang, Z.H.[Zhao-Hui],
Zhou, Z.T.[Zong-Tan],
Hu, D.[Dewen],
Salient Region Detection Using Diffusion Process on a Two-Layer
Sparse Graph,
IP(26), No. 12, December 2017, pp. 5882-5894.
IEEE DOI
1710
edge detection, graph theory.
manifold ranking diffusion method, seed vector,
superpixel clusters, two-layer neighborhood graph,
BibRef
Chen, Z.H.[Zhi-Hua],
Liu, Y.[Yi],
Xiao, X.L.[Xiao-Long],
Ying, F.L.[Fang-Li],
Zhang, J.[Jing],
Yuan, Y.B.[Yu-Bo],
Moving visual focus in salient object segmentation,
IET-IPR(9), No. 9, 2015, pp. 758-769.
DOI Link
1509
computer vision
BibRef
Lu, Y.F.[Yan-Feng],
Kang, T.K.[Tae-Koo],
Zhang, H.Z.[Hua-Zhen],
Lim, M.T.[Myo-Taeg],
Enhanced hierarchical model of object recognition based on a novel
patch selection method in salient regions,
IET-CV(9), No. 5, 2015, pp. 663-672.
DOI Link
1511
object recognition
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Fareed, M.M.S.[Mian Muhammad Sadiq],
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Chun, Q.[Qi],
Salient region detection through sparse reconstruction and
graph-based ranking,
JVCIR(32), No. 1, 2015, pp. 144-155.
Elsevier DOI
1511
Super-pixels
BibRef
Fareed, M.M.S.[Mian Muhammad Sadiq],
Chun, Q.[Qi],
Ahmed, G.[Gulnaz],
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Bibi, I.[Irfana],
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SP:IC(54), No. 1, 2017, pp. 66-80.
Elsevier DOI
1704
Maximum mean discrepancy
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Li, Z.Y.[Zuo-Yong],
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PR(52), No. 1, 2016, pp. 317-331.
Elsevier DOI
1601
Local complexity
BibRef
Naqvi, S.S.[Syed S.],
Browne, W.N.[Will N.],
Hollitt, C.[Christopher],
Salient object detection via spectral matting,
PR(51), No. 1, 2016, pp. 209-224.
Elsevier DOI
1601
BibRef
Earlier:
Combining object-based local and global feature statistics for
salient object search,
IVCNZ13(394-399)
IEEE DOI
1402
Salient object detection.
feature extraction
BibRef
Naqvi, S.S.[Syed S.],
Browne, W.N.[Will N.],
Hollitt, C.[Christopher],
Feature Quality-Based Dynamic Feature Selection for Improving Salient
Object Detection,
IP(25), No. 9, September 2016, pp. 4298-4313.
IEEE DOI
1609
feature extraction
BibRef
Bhakta, A.,
Frean, M.,
Hollitt, C.[Christopher],
Browne, W.N.[Will N.],
Trading off salience and uncertainty in sampling a visual scene,
IVCNZ13(236-241)
IEEE DOI
1402
computer vision
BibRef
Rahman, I.[Ibrahim],
Hollitt, C.[Christopher],
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Contextual-based top-down saliency feature weighting for target
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MVA(27), No. 5, August 2016, pp. 893-914.
WWW Link.
1609
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Zhang, H.[Hanling],
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VC(32), No. 1, January 2016, pp. 31-41.
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1602
BibRef
Shi, J.P.[Jian-Ping],
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Xu, L.[Li],
Jia, J.Y.[Jia-Ya],
Hierarchical Image Saliency Detection on Extended CSSD,
PAMI(38), No. 4, April 2016, pp. 717-729.
IEEE DOI
1603
BibRef
Earlier: A2, A3, A1, A4:
Hierarchical Saliency Detection,
CVPR13(1155-1162)
IEEE DOI
1309
Complexity theory.
saliency detection
BibRef
Zhang, X.J.[Xiu-Jun],
Sun, X.L.[Xiao-Li],
Xu, C.[Chen],
Baciu, G.[George],
Multiple feature distinctions based saliency flow model,
PR(54), No. 1, 2016, pp. 190-205.
Elsevier DOI
1603
Salient object detection
BibRef
Zhang, W.J.[Wen-Jie],
Xiong, Q.Y.[Qing-Yu],
Shi, W.R.[Wei-Ren],
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Region saliency detection via multi-feature on absorbing Markov chain,
VC(32), No. 3, March 2016, pp. 275-287.
WWW Link.
1604
BibRef
Aytekin, Ç.[Çaglar],
Kiranyaz, S.[Serkan],
Gabbouj, M.[Moncef],
Learning to rank salient segments extracted by multispectral Quantum
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PRL(72), No. 1, 2016, pp. 91-99.
Elsevier DOI
1604
BibRef
Earlier:
Automatic Object Segmentation by Quantum Cuts,
ICPR14(112-117)
IEEE DOI
1412
BibRef
Earlier:
Quantum mechanics in computer vision: Automatic object extraction,
ICIP13(2489-2493)
IEEE DOI
1402
Object extraction
Quantum Cuts
BibRef
Sun, X.,
Su, A.,
Chen, S.,
Yu, Q.,
Liu, X.,
Objectness to assist salient object detection,
IET-IPR(10), No. 5, 2016, pp. 391-397.
DOI Link
1604
Gaussian processes
BibRef
Cholakkal, H.[Hisham],
Johnson, J.[Jubin],
Rajan, D.[Deepu],
A classifier-guided approach for top-down salient object detection,
SP:IC(45), No. 1, 2016, pp. 24-40.
Elsevier DOI
1605
Saliency
BibRef
Cholakkal, H.[Hisham],
Johnson, J.[Jubin],
Rajan, D.[Deepu],
Backtracking Spatial Pyramid Pooling-Based Image Classifier for
Weakly Supervised Top-Down Salient Object Detection,
IP(27), No. 12, December 2018, pp. 6064-6078.
IEEE DOI
1810
convolution, feature extraction, feedforward neural nets,
image classification, object detection, probability,
CNN image classifier
BibRef
Tan, Y.H.[Yi-Hua],
Li, Y.S.[Yan-Sheng],
Chen, C.[Chen],
Yu, J.G.[Jin-Gang],
Tian, J.W.[Jin-Wen],
Cauchy graph embedding based diffusion model for salient object
detection,
JOSA-A(33), No. 5, May 2016, pp. 887-898.
DOI Link
1605
Image analysis; Pattern recognition; Algorithms
BibRef
Yang, K.F.,
Li, H.,
Li, C.Y.,
Li, Y.J.,
A Unified Framework for Salient Structure Detection by Contour-Guided
Visual Search,
IP(25), No. 8, August 2016, pp. 3475-3488.
IEEE DOI
1608
Bayes methods
BibRef
He, C.[Chao],
Chen, Z.X.[Zhen-Xue],
Liu, C.Y.[Cheng-Yun],
Salient object detection via images frequency domain analyzing,
SIViP(10), No. 7, October 2016, pp. 1295-1302.
WWW Link.
1609
BibRef
Lei, J.J.[Jian-Jun],
Wang, B.R.[Bing-Ren],
Fang, Y.M.[Yu-Ming],
Lin, W.S.[Wei-Si],
Le Callet, P.[Patrick],
Ling, N.[Nam],
Hou, C.P.[Chun-Ping],
A Universal Framework for Salient Object Detection,
MultMed(18), No. 9, September 2016, pp. 1783-1795.
IEEE DOI
1609
Bayes methods
BibRef
Filali, I.[Idir],
Allili, M.S.[Mohand Saïd],
Benblidia, N.[Nadjia],
Multi-scale salient object detection using graph ranking and
global-local saliency refinement,
SP:IC(47), No. 1, 2016, pp. 380-401.
Elsevier DOI
1610
Salient object detection (SOD)
BibRef
Cheng, M.M.[Ming-Ming],
Mitra, N.J.[Niloy J.],
Huang, X.L.[Xiao-Lei],
Torr, P.H.S.,
Hu, S.M.[Shi-Min],
Global Contrast Based Salient Region Detection,
PAMI(37), No. 3, March 2015, pp. 569-582.
IEEE DOI
1502
Histograms
BibRef
Cheng, M.M.[Ming-Ming],
Zhang, G.X.[Guo-Xin],
Mitra, N.J.[Niloy J.],
Huang, X.L.[Xiao-Lei],
Hu, S.M.[Shi-Min],
Global contrast based salient region detection C,
CVPR11(409-416).
IEEE DOI
1106
BibRef
Peng, Q.,
Cheung, Y.M.,
You, X.,
Tang, Y.Y.,
A Hybrid of Local and Global Saliencies for Detecting Image Salient
Region and Appearance,
SMCS(47), No. 1, January 2017, pp. 86-97.
IEEE DOI
1612
Feature extraction
BibRef
Zhang, J.X.[Jin-Xia],
Ehinger, K.A.[Krista A.],
Wei, H.[Haikun],
Zhang, K.J.[Kan-Jian],
Yang, J.Y.[Jing-Yu],
A novel graph-based optimization framework for salient object
detection,
PR(64), No. 1, 2017, pp. 39-50.
Elsevier DOI
1701
BibRef
And:
Erratum:
PR(71), No. 1, 2017, pp. 387-388.
Elsevier DOI
1707
Optimization framework
BibRef
Zhang, J.X.[Jin-Xia],
Ehinger, K.A.[Krista A.],
Ding, J.D.[Jun-Di],
Yang, J.Y.[Jing-Yu],
A prior-based graph for salient object detection,
ICIP14(1175-1178)
IEEE DOI
1502
Computer vision
BibRef
Aytekin, Ç.[Çaglar],
Iosifidis, A.[Alexandros],
Kiranyaz, S.[Serkan],
Gabbouj, M.[Moncef],
Learning graph affinities for spectral graph-based salient object
detection,
PR(64), No. 1, 2017, pp. 159-167.
Elsevier DOI
1701
BibRef
Earlier:
Salient object segmentation based on linearly combined affinity
graphs,
ICPR16(3769-3774)
IEEE DOI
1705
Computer vision, Graph theory, Image segmentation,
Object detection, Object segmentation, Quantum mechanics,
Symmetric matrices, graph affinity learning,
salient object segmentation, spectral graph theory.
Salient object detection
BibRef
Liu, L.C.[Liang-Chen],
Wiliem, A.[Arnold],
Chen, S.K.[Shao-Kang],
Lovell, B.C.[Brian C.],
What is the best way for extracting meaningful attributes from
pictures?,
PR(64), No. 1, 2017, pp. 314-326.
Elsevier DOI
1701
Visual attribute
measure visual attribute meaningfulness.
BibRef
Hati, A.[Avik],
Chaudhuri, S.[Subhasis],
Velmurugan, R.[Rajbabu],
An image texture insensitive method for saliency detection,
JVCIR(43), No. 1, 2017, pp. 212-226.
Elsevier DOI
1702
Saliency
BibRef
Peng, H.W.[Hou-Wen],
Li, B.[Bing],
Ling, H.B.[Hai-Bin],
Hu, W.M.[Wei-Ming],
Xiong, W.H.[Wei-Hua],
Maybank, S.J.[Stephen J.],
Salient Object Detection via Structured Matrix Decomposition,
PAMI(39), No. 4, April 2017, pp. 818-832.
IEEE DOI
1703
Computational modeling
BibRef
Zhou, Q.Q.[Qiang-Qiang],
Zhang, L.[Lin],
Zhao, W.D.[Wei-Dong],
Liu, X.H.[Xian-Hui],
Chen, Y.F.[Yu-Fei],
Wang, Z.C.[Zhi-Cheng],
Salient object detection using coarse-to-fine processing,
JOSA-A(34), No. 3, March 2017, pp. 370-383.
DOI Link
1703
Image analysis
BibRef
Sun, X.L.[Xiao-Li],
He, Z.[Zhi_Xiang],
Xu, C.[Chen],
Zhang, X.J.[Xiu-Jun],
Zou, W.B.[Wen-Bin],
Baciu, G.[George],
Diversity induced matrix decomposition model for salient object
detection,
PR(66), No. 1, 2017, pp. 253-267.
Elsevier DOI
1704
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
Saliency Detection via Diversity-Induced Multi-view Matrix
Decomposition,
ACCV16(I: 137-151).
Springer DOI
1704
Saliency detection
BibRef
Li, M.[Min],
Zhang, Y.[Yao],
Xiao, M.Q.[Ming-Qing],
Xu, C.[Chen],
Zhang, W.Q.[Wei-Qiang],
On Schatten-q quasi-norm induced matrix decomposition model for
salient object detection,
PR(96), 2019, pp. 106975.
Elsevier DOI
1909
Low rank approximation, Schatten-p norm, Matrix decomposition,
ADMM, Salient object detection
BibRef
Sun, X.L.[Xiao-Li],
Zhang, X.J.[Xiu-Jun],
Zou, W.B.[Wen-Bin],
Xu, C.[Chen],
Focus prior estimation for salient object detection,
ICIP17(1532-1536)
IEEE DOI
1803
Dictionaries, Estimation, Image edge detection, Kernel,
Object detection, Proposals, Task analysis, Focus prior,
Sparse representation
BibRef
Aksac, A.[Alper],
Ozyer, T.[Tansel],
Alhajj, R.[Reda],
Complex networks driven salient region detection based on superpixel
segmentation,
PR(66), No. 1, 2017, pp. 268-279.
Elsevier DOI
1704
Superpixel
BibRef
Wang, A.Z.[An-Zhi],
Wang, M.H.[Ming-Hui],
Pan, G.[Gang],
Yuan, X.Y.[Xiao-Yan],
Salient object detection with high-level prior based on Bayesian fusion,
IET-CV(11), No. 3, April 2017, pp. 199-206.
DOI Link
1704
BibRef
Tang, C.,
Wang, P.,
Zhang, C.,
Li, W.,
Salient Object Detection via Weighted Low Rank Matrix Recovery,
SPLetters(24), No. 4, April 2017, pp. 490-494.
IEEE DOI
1704
Convergence
BibRef
Kapoor, A.[Aditi],
Biswas, K.K.,
Hanmandlu, M.,
An evolutionary learning based fuzzy theoretic approach for salient
object detection,
VC(33), No. 5, May 2017, pp. 665-685.
WWW Link.
1704
BibRef
Earlier: A1, A2, Only:
A case-based reasoning approach for detection of salient regions in
images,
ICCVGIP10(48-55).
DOI Link
1111
BibRef
Li, S.Q.[Shi-Qi],
Zeng, C.[Cheng],
Fu, Y.[Yan],
Liu, S.P.[Shi-Ping],
Optimizing multi-graph learning based salient object detection,
SP:IC(55), No. 1, 2017, pp. 93-105.
Elsevier DOI
1705
Salient object detection
BibRef
Zhang, J.M.[Jian-Ming],
Ma, S.G.[Shu-Gao],
Sameki, M.[Mehrnoosh],
Sclaroff, S.[Stan],
Betke, M.[Margrit],
Lin, Z.[Zhe],
Shen, X.H.[Xiao-Hui],
Price, B.L.[Brian L.],
Mech, R.[Radomír],
Salient Object Subitizing,
IJCV(124), No. 2, September 2017, pp. 169-186.
Springer DOI
1708
BibRef
Earlier:
CVPR15(4045-4054)
IEEE DOI
1510
BibRef
And: A1, A4, A6, A7, A8, A9, Only:
Unconstrained Salient Object Detection via Proposal Subset
Optimization,
CVPR16(5733-5742)
IEEE DOI
1612
BibRef
Earlier: A1, A4, A6, A7, A8, A9, Only:
Minimum Barrier Salient Object Detection at 80 FPS,
ICCV15(1404-1412)
IEEE DOI
1602
Algorithm design and analysis.
people immediately recognize an image contains several items.
BibRef
Le, H.[Hoang],
Mai, L.[Long],
Price, B.L.[Brian L.],
Cohen, S.[Scott],
Jin, H.L.[Hai-Lin],
Liu, F.[Feng],
Interactive Boundary Prediction for Object Selection,
ECCV18(XIV: 20-36).
Springer DOI
1810
BibRef
Liu, Q.,
Hong, X.,
Zou, B.,
Chen, J.,
Chen, Z.,
Zhao, G.,
Hierarchical Contour Closure-Based Holistic Salient Object Detection,
IP(26), No. 9, September 2017, pp. 4537-4552.
IEEE DOI
1708
image segmentation, object detection,
background saliency overestimation, closure completeness,
closure reliability,
fine-grained contrast-based salient object detection,
hierarchical contour closure-based holistic salient object detection,
hierarchical segmentation space, holistic homogeneous regions,
saliency cues, saliency maps,
salient object saliency attenuation, Attenuation,
Image segmentation, Object detection,
Object segmentation, Psychology, Reliability,
Salient object detection, closure completeness,
closure reliability, contour, closure
BibRef
Yan, X.Y.[Xiao-Yun],
Wang, Y.H.[Yue-Huan],
Song, Q.[Qiong],
Dai, K.H.[Kai-Heng],
Salient object detection via boosting object-level distinctiveness
and saliency refinement,
JVCIR(48), No. 1, 2017, pp. 224-237.
Elsevier DOI
1708
BibRef
Earlier:
Salient object detection by multi-level features learning determined
sparse reconstruction,
ICIP16(2762-2766)
IEEE DOI
1610
Saliency.
Feature extraction
BibRef
Li, R.H.[Rui-Hui],
Cai, J.R.[Jian-Rui],
Zhang, H.L.[Han-Ling],
Wang, T.H.[Tai-Hong],
Aggregating complementary boundary contrast with smoothing for salient
region detection,
VC(33), No. 9, September 2017, pp. 1155-1167.
WWW Link.
1708
BibRef
Lin, H.F.[Hua-Feng],
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Zhou, P.Y.[Pei-Yun],
Liang, D.C.[Da-Chuan],
Li, D.M.[Dong-Min],
Saliency detection using adaptive background template,
IET-CV(11), No. 6, September 2017, pp. 389-397.
DOI Link
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BibRef
Yang, C.,
Pu, J.,
Xie, G.S.,
Dong, Y.,
Liu, Z.,
Extended Locality-Constrained Linear Self-Coding for Saliency
Detection,
SPLetters(24), No. 10, October 2017, pp. 1458-1462.
IEEE DOI
1710
linear codes, object detection,
feature distance, foreground saliency,
BibRef
Yang, C.L.[Chun-Lei],
Pu, J.[Jiexin],
Dong, Y.S.[Yong-Sheng],
Liu, Z.H.[Zhong-Hua],
Liang, L.F.[Ling-Fei],
Wang, X.H.[Xiao-Hong],
Salient object detection in complex scenes via D-S evidence theory
based region classification,
VC(33), No. 11, November 2017, pp. 1415-1428.
Springer DOI
1710
BibRef
Oh, J.[Jongsuk],
Kim, H.I.[Hong-In],
Park, R.H.[Rae-Hong],
Context-based abnormal object detection using the fully-connected
conditional random fields,
PRL(98), No. 1, 2017, pp. 16-25.
Elsevier DOI
1710
Abnormal object detection
BibRef
Yang, Z.[Zhen],
Xiong, H.L.[Hui-Lin],
Computing object-based saliency via locality-constrained linear coding
and conditional random fields,
VC(33), No. 11, November 2017, pp. 1403-1413.
Springer DOI
1710
BibRef
Li, Z.[Zun],
Lang, C.Y.[Cong-Yan],
Feng, S.H.[Song-He],
Wang, T.[Tao],
Saliency ranker: A new salient object detection method,
JVCIR(50), No. 1, 2018, pp. 16-26.
Elsevier DOI
1712
Saliency detection
BibRef
Liang, J.[Jie],
Zhou, J.[Jun],
Tong, L.[Lei],
Bai, X.[Xiao],
Wang, B.[Bin],
Material based salient object detection from hyperspectral images,
PR(76), No. 1, 2018, pp. 476-490.
Elsevier DOI
1801
Salient object detection
BibRef
Al-Khafaji, S.L.[Suhad Lateef],
Zhou, J.[Jun],
Liew, A.W.C.[Alan Wee-Chung],
An Efficient Method for Boundary Detection from Hyperspectral Imagery,
SSSPR18(416-426).
Springer DOI
1810
BibRef
Al-Khafaji, S.L.[Suhad Lateef],
Zia, A.[Ali],
Zhou, J.[Jun],
Liew, A.W.C.[Alan Wee-Chung],
Material Based Boundary Detection in Hyperspectral Images,
DICTA17(1-7)
IEEE DOI
1804
feature extraction, geophysical image processing,
hyperspectral imaging, matrix algebra, pattern clustering,
Probability density function
BibRef
Li, X.[Xi],
Ma, H.M.[Hui-Min],
Wang, X.[Xiang],
Zhang, K.[Kai],
Saliency detection via alternative optimization adaptive influence
matrix model,
PRL(101), No. 1, 2018, pp. 29-36.
Elsevier DOI
1801
Salient object detection
BibRef
Yi, L.[Liu],
Qiang, Z.[Zhang],
Jungong, H.[Han],
Long, W.[Wang],
Salient object detection employing robust sparse representation and
local consistency,
IVC(69), 2018, pp. 155-167.
Elsevier DOI
1802
Salient object detection, Robust sparse representation,
Local consistency, Complex structures
BibRef
Eun, H.J.[Hyun-Jun],
Kim, Y.[Yoonhyung],
Jung, C.[Chanho],
Kim, C.[Changick],
Saliency refinement: Towards a uniformly highlighted salient object,
SP:IC(62), 2018, pp. 16-32.
Elsevier DOI
1802
Salient object detection, Saliency refinement,
A uniformly highlighted salient object, Nonlocal optimization
BibRef
Li, Y.[Ying],
Cui, F.[Fan],
Xue, X.[Xizhe],
Chan, J.C.W.[Jonathan Cheung-Wai],
Coarse-to-fine salient object detection based on deep convolutional
neural networks,
SP:IC(64), 2018, pp. 21-32.
Elsevier DOI
1804
Saliency detection, Convolutional neural network,
Fully convolutional neural network
BibRef
Wang, B.Y.[Bao-Yan],
Zhang, T.[Tie],
Wang, X.G.[Xin-Gang],
Salient object detection based on Laplacian similarity metrics,
VC(34), No. 5, May 2018, pp. 645-658.
WWW Link.
1804
BibRef
Quan, R.,
Han, J.,
Zhang, D.,
Nie, F.,
Qian, X.,
Li, X.,
Unsupervised Salient Object Detection via Inferring From Imperfect
Saliency Models,
MultMed(20), No. 5, May 2018, pp. 1101-1112.
IEEE DOI
1805
Analytical models, Computational complexity,
Computational modeling, Fuses, Labeling, Object detection,
weak prediction
BibRef
Zhang, Y.J.[Yong-Jun],
Wang, X.[Xiang],
Xie, X.W.[Xun-Wei],
Li, Y.S.[Yan-Sheng],
Salient Object Detection via Recursive Sparse Representation,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
The foreground object.
BibRef
Zhang, J.H.[Jian-Hua],
Zhao, Y.Z.[Yan-Zhu],
Chen, S.Y.[Sheng-Yong],
Object-level saliency: Fusing objectness estimation and saliency
detection into a uniform framework,
JVCIR(53), 2018, pp. 102-112.
Elsevier DOI
1805
Object-level, Salient object detection, Saliency, Objectness,
Background prior, Peeling
BibRef
Nouri, F.[Fatemeh],
Kazemi, K.[Kamran],
Danyali, H.[Habibollah],
Salient object detection using local, global and high contrast graphs,
SIViP(12), No. 4, May 2018, pp. 659-667.
WWW Link.
1805
BibRef
Umeki, Y.[Yo],
Yoshida, T.[Taichi],
Iwahashi, M.[Masahiro],
Co-Propagation with Distributed Seeds for Salient Object Detection,
IEICE(E101-D), No. 6, June 2018, pp. 1640-1647.
WWW Link.
1806
BibRef
Dai, B.[Bo],
Ye, W.J.[Wei-Jing],
Zheng, J.[Jing],
Chai, Q.Y.[Qian-Yi],
Yao, Y.Y.[Yi-Yang],
Retraction: Deep network for visual saliency prediction by encoding image
composition,
JVCIR(67), 2020, pp. 102756.
Elsevier DOI
2004
BibRef
Earlier:
JVCIR(55), 2018, pp. 789-794.
Elsevier DOI
1809
Deep network, Visual saliency regions, Image composition
BibRef
El Sayed, A.R.[Abdul Rahman],
El Chakik, A.[Abdallah],
Alabboud, H.[Hassan],
Yassine, A.[Adnan],
Efficient 3D mesh salient region detection using local homogeneity
measure,
IET-IPR(12), No. 9, September 2018, pp. 1663-1672.
DOI Link
1809
BibRef
Wang, Y.Z.[Yan-Zhao],
Peng, G.H.[Guo-Hua],
Salient object detection based on compactness and foreground
connectivity,
MVA(29), No. 7, October 2018, pp. 1143-1155.
WWW Link.
1810
BibRef
Yang, C.L.[Chun-Lei],
Wang, X.L.[Xiang-Luo],
Pu, J.X.[Jie-Xin],
Xie, G.S.[Guo-Sen],
Liu, Z.H.[Zhong-Hua],
Dong, Y.S.[Yong-Sheng],
Liang, L.F.[Ling-Fei],
Hybrid of extended locality-constrained linear coding and manifold
ranking for salient object detection,
JVCIR(56), 2018, pp. 27-37.
Elsevier DOI
1811
Salient object detection, Complex scene,
Locality-constrained Linear Coding (LLC), Manifold ranking,
Region clustering
BibRef
Xiao, H.,
Feng, J.,
Wei, Y.,
Zhang, M.,
Yan, S.,
Deep Salient Object Detection With Dense Connections and Distraction
Diagnosis,
MultMed(20), No. 12, December 2018, pp. 3239-3251.
IEEE DOI
1812
learning (artificial intelligence), neural nets,
object detection, distraction-free image, combined S-Net,
model interpretability
BibRef
Abkenar, M.R.[Masoumeh Rezaei],
Sadreazami, H.[Hamidreza],
Ahmad, M.O.[M. Omair],
Salient region detection using feature extraction in the non-subsampled
contourlet domain,
IET-IPR(12), No. 12, December 2018, pp. 2275-2282.
DOI Link
1812
BibRef
Kampffmeyer, M.[Michael],
Dong, N.Q.[Nan-Qing],
Liang, X.D.[Xiao-Dan],
Zhang, Y.[Yujia],
Xing, E.P.[Eric P.],
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for
Salient Segmentation,
IP(28), No. 5, May 2019, pp. 2518-2529.
IEEE DOI
1903
computer vision, convolutional neural nets, graph theory,
image segmentation, inference mechanisms, probability, ConnNet,
connectivity
BibRef
Zhang, Q.[Qing],
Lin, J.J.[Jia-Jun],
Zhuge, J.J.[Jing-Jing],
Yuan, W.H.[Wen-Hao],
Multi-level and multi-scale deep saliency network for salient object
detection,
JVCIR(59), 2019, pp. 415-424.
Elsevier DOI
1903
Saliency detection, Salient object detection,
Fully convolutional neural network, Multi-scale features
BibRef
Nguyen, K.D.[Khanh-Duy],
Nguyen, K.[Khang],
Le, D.D.[Duy-Dinh],
Duong, D.A.[Duc Anh],
Nguyen, T.V.[Tam V.],
You always look again: Learning to detect the unseen objects,
JVCIR(60), 2019, pp. 206-216.
Elsevier DOI
1903
Deep learning, Dual-level deep networks, Object detection
BibRef
Zhang, Q.A.[Qi-Ang],
Huo, Z.[Zhen],
Liu, Y.[Yi],
Pan, Y.H.[Yun-Hui],
Shan, C.F.[Cai-Feng],
Han, J.G.[Jun-Gong],
Salient object detection employing a local tree-structured low-rank
representation and foreground consistency,
PR(92), 2019, pp. 119-134.
Elsevier DOI
1905
Salient object detection, Structured low-rank representation,
Background dictionary, Foreground consistency
BibRef
Wang, Y.,
Zhao, X.,
Hu, X.,
Li, Y.,
Huang, K.,
Focal Boundary Guided Salient Object Detection,
IP(28), No. 6, June 2019, pp. 2813-2824.
IEEE DOI
1905
feature extraction, image segmentation,
learning (artificial intelligence), object detection,
deep learning
BibRef
Zhang, P.,
Liu, W.,
Lu, H.,
Shen, C.,
Salient Object Detection With Lossless Feature Reflection and
Weighted Structural Loss,
IP(28), No. 6, June 2019, pp. 3048-3060.
IEEE DOI
1905
computer vision, feature extraction, image classification,
image segmentation, learning (artificial intelligence),
spatially consistent saliency
BibRef
Tao, Q.Y.[Qing-Yi],
Yang, H.[Hao],
Cai, J.F.[Jian-Fei],
Exploiting Web Images for Weakly Supervised Object Detection,
MultMed(21), No. 5, May 2019, pp. 1135-1146.
IEEE DOI
1905
convolutional neural nets, Internet,
learning (artificial intelligence), object detection,
curriculum learning
BibRef
Jerripothula, K.R.[Koteswar Rao],
Cai, J.F.[Jian-Fei],
Yuan, J.S.[Jun-Song],
QCCE:
Quality constrained co-saliency estimation for common object detection,
VCIP15(1-4)
IEEE DOI
1605
Estimation
BibRef
Li, C.P.[Cui-Ping],
Chen, Z.X.[Zhen-Xue],
Wu, Q.M.J.[Q. M. Jonathan],
Liu, C.Y.[Cheng-Yun],
Saliency object detection: integrating reconstruction and prior,
MVA(30), No. 3, April 2019, pp. 397-406.
Springer DOI
1906
BibRef
Li, H.Z.[Hong-Zhi],
Ellis, J.G.[Joseph G.],
Zhang, L.[Lei],
Chang, S.F.[Shih-Fu],
Automatic visual pattern mining from categorical image dataset,
MultInfoRetr(8), No. 1, March 2019, pp. 35-45.
Springer DOI
1906
BibRef
Zhang, P.P.[Ping-Ping],
Liu, W.[Wei],
Lei, Y.[Yinjie],
Lu, H.C.[Hu-Chuan],
Hyperfusion-Net: Hyper-densely reflective feature fusion for salient
object detection,
PR(93), 2019, pp. 521-533.
Elsevier DOI
1906
Salient object detection, Image reflection separation,
Multiple feature fusion, Convolutional Neural Network
BibRef
Lin, X.,
Wang, Z.,
Ma, L.,
Wu, X.,
Saliency Detection via Multi-Scale Global Cues,
MultMed(21), No. 7, July 2019, pp. 1646-1659.
IEEE DOI
1906
Image segmentation, Saliency detection, Image resolution,
Smoothing methods, Streaming media, Feature extraction, Proposals,
image smoothing and segmentation
BibRef
Xu, Q.Z.[Qing-Zhen],
Wang, F.Y.[Feng-Yun],
Gong, Y.Y.[Yong-Yi],
Wang, Z.T.[Zhou-Tao],
Zeng, K.[Kun],
Li, Q.[Qi],
Luo, X.N.[Xiao-Nan],
A novel edge-oriented framework for saliency detection enhancement,
IVC(87), 2019, pp. 1-12.
Elsevier DOI
1906
Saliency detection enhancements, Visual attention,
Edge probability map, Edge-region
BibRef
Singh, S.K.[Surya Kant],
Srivastava, R.[Rajeev],
A Novel Probabilistic Contrast-Based Complex Salient Object Detection,
JMIV(61), No. 7, September 2019, pp. 990-1006.
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Tang, Y.B.[You-Bao],
Wu, X.Q.[Xiang-Qian],
Salient Object Detection Using Cascaded Convolutional Neural Networks
and Adversarial Learning,
MultMed(21), No. 9, September 2019, pp. 2237-2247.
IEEE DOI
1909
Object detection, Feature extraction, Generators, Estimation,
Convolutional neural networks, Decoding, Kernel,
adversarial learning
BibRef
Chen, W.B.[Wen-Bing],
Dahal, K.[Keshav],
Huang, S.[Shuxian],
Salient object detection via reciprocal function filter,
IET-IPR(13), No. 10, 22 August 2019, pp. 1616-1624.
DOI Link
1909
BibRef
Qian, M.Y.[Ming-Yang],
Qi, J.Q.[Jin-Qing],
Zhang, L.[Lihe],
Feng, M.Y.[Meng-Yang],
Lu, H.C.[Hu-Chuan],
Language-aware weak supervision for salient object detection,
PR(96), 2019, pp. 106955.
Elsevier DOI
1909
Saliency detection, Natural language, Textual-visual pairwise, Self-supervision
BibRef
Li, C.Y.[Chong-Yi],
Cong, R.M.[Run-Min],
Hou, J.H.[Jun-Hui],
Zhang, S.Y.[San-Yi],
Qian, Y.[Yue],
Kwong, S.[Sam],
Nested Network With Two-Stream Pyramid for Salient Object Detection
in Optical Remote Sensing Images,
GeoRS(57), No. 11, November 2019, pp. 9156-9166.
IEEE DOI
1911
Object detection, Optical imaging, Saliency detection,
Optical sensors, Feature extraction, Optical network units,
two-stream pyramid module
BibRef
Zhang, Q.J.[Qi-Jian],
Cong, R.M.[Run-Min],
Li, C.Y.[Chong-Yi],
Cheng, M.M.[Ming-Ming],
Fang, Y.M.[Yu-Ming],
Cao, X.C.[Xiao-Chun],
Zhao, Y.[Yao],
Kwong, S.[Sam],
Dense Attention Fluid Network for Salient Object Detection in Optical
Remote Sensing Images,
IP(30), 2021, pp. 1305-1317.
IEEE DOI
2012
Optical imaging, Optical sensors, Feature extraction,
Visualization, Remote sensing, Task analysis, Object detection,
optical remote sensing images
BibRef
Nasiripour, R.[Reza],
Farsi, H.[Hassan],
Mohamadzadeh, S.[Sajad],
Visual saliency object detection using sparse learning,
IET-IPR(13), No. 13, November 2019, pp. 2436-2447.
DOI Link
1911
BibRef
Lu, Y.[Ye],
Zhou, K.D.[Ke-Dong],
Wu, X.Y.[Xi-Yin],
Gong, P.H.[Peng-Han],
A novel multi-graph framework for salient object detection,
VC(35), No. 11, November 2018, pp. 1683-1699.
WWW Link.
1911
BibRef
Wang, Y.Z.[Yan-Zhao],
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Salient object detection via incorporating multiple manifold ranking,
SIViP(13), No. 8, November 2019, pp. 1603-1610.
WWW Link.
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BibRef
Zhou, D.F.[Ding-Fu],
Fang, J.[Jin],
Song, X.B.[Xi-Bin],
Guan, C.Y.[Chen-Ye],
Yin, J.B.[Jun-Bo],
Dai, Y.C.[Yu-Chao],
Yang, R.G.[Rui-Gang],
IoU Loss for 2D/3D Object Detection,
3DV19(85-94)
IEEE DOI
1911
Intersection-over-Union.
Object detection, Task analysis, Measurement, Autonomous Driving
BibRef
Wang, Z.J.[Zhi-Jie],
Zhang, W.[Wei],
Rong, X.[Xuewen],
Li, Y.[Yibin],
Salient object detection with adversarial training,
IET-IPR(13), No. 14, 12 December 2019, pp. 2859-2865.
DOI Link
1912
BibRef
Pang, Y.[Yu],
Yu, X.S.[Xiao-Sheng],
Wang, Y.[Ying],
Wu, C.D.[Cheng-Dong],
Salient object detection based on novel graph model,
JVCIR(65), 2019, pp. 102676.
Elsevier DOI
1912
Salient object detection, Background prior, Novel graph model,
Saliency propagation, Optimization method
BibRef
Ma, G.,
Chen, C.,
Li, S.,
Peng, C.,
Hao, A.,
Qin, H.,
Salient Object Detection via Multiple Instance Joint Re-Learning,
MultMed(22), No. 2, February 2020, pp. 324-336.
IEEE DOI
2001
Feature extraction, Object detection, Saliency detection,
Visualization, Deep learning, Correlation, Topology, Joint Re-Learning
BibRef
Cao, Y.P.[Yan-Peng],
Fu, G.Z.[Gui-Zhong],
Yang, J.X.[Jiang-Xin],
Cao, Y.L.[Yan-Long],
Yang, M.Y.[Michael Ying],
Accurate Salient Object Detection via Dense Recurrent Connections and
Residual-Based Hierarchical Feature Integration,
SP:IC(78), 2019, pp. 103-112.
Elsevier DOI
1909
Convolutional neural network, Recurrent convolutional layer,
Salient object detection, Hierarchical feature fusion, Deep supervision
BibRef
Yang, J.X.[Jia-Xing],
Fang, X.[Xiang],
Zhang, L.[Lihe],
Lu, H.C.[Hu-Chuan],
Wei, G.H.[Guo-Hua],
Salient Object Detection via Double Random Walks with Dual Restarts,
IVC(93), 2020, pp. 103822.
Elsevier DOI
2001
Salient object detection, Double random walks,
Propagation distance, Dual restarts
BibRef
Sikha, O.K.,
Soman, K.P.,
Multi-resolution dynamic mode decomposition-based salient region
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SIViP(14), No. 1, February 2020, pp. 167-175.
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2001
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Chen, S.[Shuhan],
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Wang, B.[Ben],
Lu, H.,
Hu, X.L.[Xue-Long],
Fu, Y.,
Reverse Attention-Based Residual Network for Salient Object Detection,
IP(29), 2020, pp. 3763-3776.
IEEE DOI
2002
BibRef
Earlier: A1, A2, A3, A5, Only:
Reverse Attention for Salient Object Detection,
ECCV18(IX: 236-252).
Springer DOI
1810
Salient object detection, reverse attention,
side-output residual learning, saliency prior
BibRef
Wang, B.[Ben],
Chen, S.H.[Shu-Han],
Wang, J.[Jian],
Hu, X.L.[Xue-Long],
Residual feature pyramid networks for salient object detection,
VC(36), No. 9, September 2020, pp. 1897-1908.
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Zhang, L.,
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Wang, T.,
Borji, A.,
Wei, G.,
Lu, H.,
A Multistage Refinement Network for Salient Object Detection,
IP(29), 2020, pp. 3534-3545.
IEEE DOI
2002
Salient object detection, stagewise refinement,
pyramid pooling module, layerwise recurrent, channel attention,
global average pooling
BibRef
Chen, J.H.[Jun-Hao],
Niu, Y.Z.[Yu-Zhe],
Wu, J.B.[Jian-Bin],
Chen, J.R.[Jun-Rong],
Optimisation for image salient object detection based on semantic-aware
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IET-CV(14), No. 2, March 2020, pp. 49-58.
DOI Link
2002
BibRef
Xu, C.[Cheng],
Han, W.[Wei],
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Salient Region Detection with Multi-Feature Fusion and Edge Constraint,
IEICE(E103-D), No. 4, April 2020, pp. 910-913.
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Salient object detection based on backbone enhanced network,
IVC(95), 2020, pp. 103876.
Elsevier DOI
2004
Salient object detection, Deep learning, Backbone network, Over-fitting
BibRef
Srivastava, G.[Gargi],
Srivastava, R.[Rajeev],
User-interactive salient object detection using YOLOv2, lazy snapping,
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MVA(31), No. 3, March 2020, pp. Article17.
WWW Link.
2004
BibRef
Liu, Z.Y.[Zheng-Yi],
Tang, J.T.[Ji-Ting],
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Salient object detection via hybrid upsampling and hybrid loss
computing,
VC(36), No. 4, April 2020, pp. 843-853.
Springer DOI
2004
BibRef
Luo, A.[Ao],
Li, X.[Xin],
Yang, F.[Fan],
Jiao, Z.C.[Zhi-Cheng],
Cheng, H.[Hong],
Webly-supervised learning for salient object detection,
PR(103), 2020, pp. 107308.
Elsevier DOI
2005
Salient object detection, Webly-supervised learning, Deep learning
BibRef
Zhang, M.,
Ji, W.,
Piao, Y.,
Li, J.,
Zhang, Y.,
Xu, S.,
Lu, H.,
LFNet: Light Field Fusion Network for Salient Object Detection,
IP(29), 2020, pp. 6276-6287.
IEEE DOI
2005
Light field, salient object detection,
convolutional neural networks, fusion network
BibRef
Li, C.Y.[Cheng-Yuan],
Luo, B.[Bin],
Hong, H.[Hailong],
Su, X.[Xin],
Wang, Y.[Yajun],
Liu, J.[Jun],
Wang, C.[Chenjie],
Zhang, J.[Jing],
Wei, L.[Linhai],
Object Detection Based on Global-Local Saliency Constraint in Aerial
Images,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Greenberg, S.[Shlomo],
Bensimon, M.[Moshe],
Podeneshko, Y.[Yevgeny],
Gens, A.[Alon],
Fusion of visual salience maps for object acquisition,
IET-CV(14), No. 4, June 2020, pp. 113-121.
DOI Link
2005
BibRef
Singh, V.K.[Vivek Kumar],
Kumar, N.[Nitin],
Saliency bagging: a novel framework for robust salient object detection,
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2005
BibRef
Qin, X.B.[Xue-Bin],
Zhang, Z.C.[Zi-Chen],
Huang, C.Y.[Chen-Yang],
Dehghan, M.[Masood],
Zaiane, O.R.[Osmar R.],
Jagersand, M.[Martin],
U2-Net: Going deeper with nested U-structure for salient object
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PR(106), 2020, pp. 107404.
Elsevier DOI
2006
Salient object detection, Convolutional neural network,
Network architecture design, Nested U-structure, Multi-scale feature extraction
BibRef
Wang, W.G.[Wen-Guan],
Shen, J.B.[Jian-Bing],
Dong, X.P.[Xing-Ping],
Borji, A.[Ali],
Yang, R.G.[Rui-Gang],
Inferring Salient Objects from Human Fixations,
PAMI(42), No. 8, August 2020, pp. 1913-1927.
IEEE DOI
2007
BibRef
Earlier: A1, A2, A3, A4, Only:
Salient Object Detection Driven by Fixation Prediction,
CVPR18(1711-1720)
IEEE DOI
1812
Visualization, Object detection, Task analysis, Predictive models,
Deep learning, Biological system modeling, Measurement.
Analytical models, Computational modeling, Predictive models
BibRef
Mukherjee, P.[Prerana],
Lall, B.[Brejesh],
Conditional Random Field based salient proposal set generation and
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Elsevier DOI
2007
object edge density.
Structured prediction, Edge classification,
Salient edge density based scoring,
Salient region preserving seam carving
BibRef
Yildirim, G.[Gökhan],
Sen, D.[Debashis],
Kankanhalli, M.[Mohan],
Süsstrunk, S.[Sabine],
Evaluating salient object detection in natural images with multiple
objects having multi-level saliency,
IET-IPR(14), No. 10, August 2020, pp. 2249-2262.
DOI Link
2008
BibRef
Liu, Z.Y.[Zheng-Yi],
Xiang, Q.[Qian],
Tang, J.T.[Ji-Ting],
Wang, Y.[Yuan],
Zhao, P.[Peng],
Robust salient object detection for RGB images,
VC(36), No. 9, September 2020, pp. 1823-1835.
WWW Link.
2008
BibRef
Zhou, S.,
Wang, J.,
Zhang, J.,
Wang, L.,
Huang, D.,
Du, S.,
Zheng, N.,
Hierarchical U-Shape Attention Network for Salient Object Detection,
IP(29), 2020, pp. 8417-8428.
IEEE DOI
2008
Object detection, Fuses, Training, Feature extraction, Shape,
Memory management, Heating systems, Salient object detection,
attention regularization
BibRef
Zhou, S.,
Wang, J.,
Wang, L.,
Zhang, J.,
Wang, F.,
Huang, D.,
Zheng, N.,
Hierarchical and Interactive Refinement Network for Edge-Preserving
Salient Object Detection,
IP(30), 2021, pp. 1-14.
IEEE DOI
2011
Image edge detection, Object detection, Feature extraction,
Inference algorithms, Training, Prediction algorithms, Semantics,
Hierarchical and Interactive Refinement Network
BibRef
Tang, W.[Wei],
Wang, Z.J.[Zhi-Jian],
Zhai, J.Y.[Ji-You],
Yang, Z.J.[Zhang-Jing],
Salient object detection via two-stage absorbing Markov chain based
on background and foreground,
JVCIR(71), 2020, pp. 102727.
Elsevier DOI
2009
Saliency object detection, Markov chain, Background absorbing,
Foreground absorbing
BibRef
Sun, P.,
Chen, G.,
Shang, Y.,
Adaptive Saliency Biased Loss for Object Detection in Aerial Images,
GeoRS(58), No. 10, October 2020, pp. 7154-7165.
IEEE DOI
2009
Detectors, Training, Object detection, Feature extraction,
Neural networks, Remote sensing, Benchmark testing,
Retinanet
BibRef
Wang, T.[Tao],
He, X.M.[Xu-Ming],
Cai, Y.Z.[Yuan-Zheng],
Xiao, G.B.[Guo-Bao],
Learning a Layout Transfer Network for Context Aware Object Detection,
ITS(21), No. 10, October 2020, pp. 4209-4224.
IEEE DOI
2010
Layout, Object detection, Estimation, Context modeling,
Cognition, Feature extraction, scene layout transfer
BibRef
Zhu, L.,
Chen, J.,
Hu, X.,
Fu, C.W.,
Xu, X.,
Qin, J.,
Heng, P.A.,
Aggregating Attentional Dilated Features for Salient Object Detection,
CirSysVideo(30), No. 10, October 2020, pp. 3358-3371.
IEEE DOI
2010
Feature extraction, Saliency detection, Object detection,
Aggregates, Task analysis, Visualization, Benchmark testing,
multiple layer aggregation
BibRef
Guo, F.[Fei],
Yang, Y.[Yuan],
Gao, Y.[Yong],
Yu, N.M.[Ning-Mei],
Efficient Salient Object Detection Model with Dilated Convolutional
Networks,
IEICE(E103-D), No. 10, October 2020, pp. 2199-2207.
WWW Link.
2010
BibRef
Chen, Z.X.[Zi-Xuan],
Zhou, H.J.[Hua-Jun],
Lai, J.H.[Jian-Huang],
Yang, L.X.[Ling-Xiao],
Xie, X.H.[Xiao-Hua],
Contour-Aware Loss:
Boundary-Aware Learning for Salient Object Segmentation,
IP(30), 2021, pp. 431-443.
IEEE DOI
2012
Object segmentation, Feature extraction, Visualization, Semantics,
Image segmentation, Decoding, Aggregates,
attention
BibRef
Kalash, M.,
Islam, M.A.,
Bruce, N.D.B.,
Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks,
PAMI(43), No. 1, January 2021, pp. 204-219.
IEEE DOI
2012
BibRef
Earlier: A2, A1, A3:
Revisiting Salient Object Detection: Simultaneous Detection, Ranking,
and Subitizing of Multiple Salient Objects,
CVPR18(7142-7150)
IEEE DOI
1812
Object detection, Training, Benchmark testing, Observers,
Feature extraction, Measurement, Manuals, Saliency, saliency ranking,
benchmark.
Decoding, Task analysis, Semantics, Observers, Labeling
BibRef
Jia, S.,
Bruce, N.D.B.,
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve,
CVPR20(2664-2673)
IEEE DOI
2008
Measurement, Standards, Smoothing methods, Predictive models,
Benchmark testing, Training, Robustness
BibRef
Wang, A.,
Three-Stream Cross-Modal Feature Aggregation Network for Light Field
Salient Object Detection,
SPLetters(28), 2021, pp. 46-50.
IEEE DOI
2101
Feature extraction, Saliency detection, Fuses, Visualization,
Streaming media, salient object detection
BibRef
Li, Y.,
Chen, X.,
Quan, L.,
Zhang, N.,
Loss Rescaling by Uncertainty Inference For Single-Stage Object
Detection,
ICIP20(698-702)
IEEE DOI
2011
Uncertainty, Training, Bayes methods, Object detection, Detectors,
Task analysis, Image classification, Bayesian neural network,
Hard example mining
BibRef
Li, B.R.[Bo-Ren],
Zhuang, P.Y.[Po-Yu],
Gu, J.[Jian],
Li, M.Y.[Ming-Yang],
Tan, P.[Ping],
Interpretable Foreground Object Search as Knowledge Distillation,
ECCV20(XXVIII:189-204).
Springer DOI
2011
BibRef
Zhang, J.,
Yu, X.,
Li, A.,
Song, P.,
Liu, B.,
Dai, Y.,
Weakly-Supervised Salient Object Detection via Scribble Annotations,
CVPR20(12543-12552)
IEEE DOI
2008
Object detection, Image edge detection, Semantics,
Image segmentation, Training, Logic gates, Measurement
BibRef
Wei, J.,
Wang, S.,
Wu, Z.,
Su, C.,
Huang, Q.,
Tian, Q.,
Label Decoupling Framework for Salient Object Detection,
CVPR20(13022-13031)
IEEE DOI
2008
BibRef
Bardhan, S.,
Salient Object Detection by Contextual Refinement,
WiCV20(1464-1472)
IEEE DOI
2008
Context modeling, Saliency detection,
Customer relationship management, Visualization,
Feature extraction
BibRef
Zhao, J.,
Liu, J.,
Fan, D.,
Cao, Y.,
Yang, J.,
Cheng, M.,
EGNet: Edge Guidance Network for Salient Object Detection,
ICCV19(8778-8787)
IEEE DOI
2004
Code, Object Detection.
WWW Link. convolutional neural nets, edge detection, feature extraction,
image fusion, object detection, edge guidance network,
Fuses
BibRef
Wu, Z.,
Su, L.,
Huang, Q.,
Stacked Cross Refinement Network for Edge-Aware Salient Object
Detection,
ICCV19(7263-7272)
IEEE DOI
2004
Code, Object Detection.
WWW Link. convolutional neural nets, edge detection,
image enhancement, image segmentation,
Computational modeling
BibRef
Su, J.,
Li, J.,
Zhang, Y.,
Xia, C.,
Tian, Y.,
Selectivity or Invariance: Boundary-Aware Salient Object Detection,
ICCV19(3798-3807)
IEEE DOI
2004
object detection, complex interior perception stream,
transition compensation stream, feature invariance,
Saliency detection
BibRef
Zeng, L.Y.[Ling-Yun],
Song, Y.[You],
Wang, W.[Wenhai],
Guided Refine-head for Object Detection,
MMMod20(I:203-214).
Springer DOI
2003
BibRef
Zhang, J.L.[Jun-Lin],
Wang, X.[Xu],
Light Field Salient Object Detection via Hybrid Priors,
MMMod20(II:361-372).
Springer DOI
2003
BibRef
Wu, Z.[Zhe],
Su, L.[Li],
Huang, Q.M.[Qing-Ming],
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection,
CVPR19(3902-3911).
IEEE DOI
2002
BibRef
Liu, J.J.[Jiang-Jiang],
Hou, Q.[Qibin],
Cheng, M.M.[Ming-Ming],
Feng, J.[Jiashi],
Jiang, J.M.[Jian-Min],
A Simple Pooling-Based Design for Real-Time Salient Object Detection,
CVPR19(3912-3921).
IEEE DOI
2002
BibRef
Wu, R.M.[Run-Min],
Feng, M.Y.[Meng-Yang],
Guan, W.L.[Wen-Long],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
Ding, E.[Errui],
A Mutual Learning Method for Salient Object Detection With Intertwined
Multi-Supervision,
CVPR19(8142-8151).
IEEE DOI
2002
BibRef
Qin, X.B.[Xue-Bin],
Zhang, Z.C.[Zi-Chen],
Huang, C.Y.[Chen-Yang],
Gao, C.[Chao],
Dehghan, M.[Masood],
Jagersand, M.[Martin],
BASNet: Boundary-Aware Salient Object Detection,
CVPR19(7471-7481).
IEEE DOI
2002
BibRef
Wang, W.G.[Wen-Guan],
Shen, J.B.[Jian-Bing],
Cheng, M.M.[Ming-Ming],
Shao, L.[Ling],
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network
for Salient Object Detection,
CVPR19(5961-5970).
IEEE DOI
2002
BibRef
Xu, Y.Y.[Ying-Yue],
Hong, X.P.[Xiao-Peng],
Zhao, G.Y.[Guo-Ying],
Salient Object Detection with CNNs and Multi-scale CRFs,
SCIA19(233-245).
Springer DOI
1906
BibRef
Pan, C.,
Li, X.,
Yan, W.Q.,
A Learning-Based Positive Feedback Approach in Salient Object
Detection,
IVCNZ18(1-6)
IEEE DOI
1902
Feedback loop, Saliency detection, Visual systems,
Computational modeling, Training, Neural networks, Visualization
BibRef
Hu, H.,
Gu, J.,
Zhang, Z.,
Dai, J.,
Wei, Y.,
Relation Networks for Object Detection,
CVPR18(3588-3597)
IEEE DOI
1812
Object detection, Task analysis, Feature extraction, Geometry,
Detectors, Manganese, Computational modeling
BibRef
Kosugi, S.,
Yamasaki, T.,
Aizawa, K.,
Object-Aware Instance Labeling for Weakly Supervised Object Detection,
ICCV19(6063-6071)
IEEE DOI
2004
image annotation, image classification, iterative methods,
learning (artificial intelligence), object detection, Focusing
BibRef
Inoue, N.,
Furuta, R.,
Yamasaki, T.,
Aizawa, K.,
Cross-Domain Weakly-Supervised Object Detection Through Progressive
Domain Adaptation,
CVPR18(5001-5009)
IEEE DOI
1812
Object detection, Task analysis, Detectors, Dogs, Search engines,
Feature extraction, Noise measurement
BibRef
Wang, J.,
Xing, Y.,
Zeng, G.,
Global Context Encoding for Salient Objects Detection,
ICPR18(2337-2342)
IEEE DOI
1812
Encoding, Object detection, Task analysis, Semantics,
Feature extraction, Image segmentation, Computer vision
BibRef
Zhang, L.,
Dai, J.,
Lu, H.,
He, Y.,
Wang, G.,
A Bi-Directional Message Passing Model for Salient Object Detection,
CVPR18(1741-1750)
IEEE DOI
1812
Feature extraction, Bidirectional control, Message passing,
Object detection, Logic gates, Semantics, Task analysis
BibRef
Gao, M.,
Yu, R.,
Li, A.,
Morariu, V.I.,
Davis, L.S.,
Dynamic Zoom-in Network for Fast Object Detection in Large Images,
CVPR18(6926-6935)
IEEE DOI
1812
Detectors, Image resolution, Proposals, History,
Computational efficiency, Convolution, Object detection
BibRef
Mishkin, D.[Dmytro],
Radenovic, F.[Filip],
Matas, J.G.[Jiri G.],
Repeatability Is Not Enough:
Learning Affine Regions via Discriminability,
ECCV18(IX: 287-304).
Springer DOI
1810
Code, Affine Shape.
WWW Link.
BibRef
Kim, S.W.[Seung-Wook],
Kook, H.K.[Hyong-Keun],
Sun, J.Y.[Jee-Young],
Kang, M.C.[Mun-Cheon],
Ko, S.J.[Sung-Jea],
Parallel Feature Pyramid Network for Object Detection,
ECCV18(VI: 239-256).
Springer DOI
1810
BibRef
Li, Z.[Zeming],
Peng, C.[Chao],
Yu, G.[Gang],
Zhang, X.Y.[Xiang-Yu],
Deng, Y.D.[Yang-Dong],
Sun, J.[Jian],
DetNet: Design Backbone for Object Detection,
ECCV18(IX: 339-354).
Springer DOI
1810
BibRef
Fan, D.P.[Deng-Ping],
Cheng, M.M.[Ming-Ming],
Liu, J.J.[Jiang-Jiang],
Gao, S.H.[Shang-Hua],
Hou, Q.[Qibin],
Borji, A.[Ali],
Salient Objects in Clutter: Bringing Salient Object Detection to the
Foreground,
ECCV18(XV: 196-212).
Springer DOI
1810
BibRef
Wang, T.,
Borji, A.,
Zhang, L.,
Zhang, P.,
Lu, H.,
A Stagewise Refinement Model for Detecting Salient Objects in Images,
ICCV17(4039-4048)
IEEE DOI
1802
convolution, feature extraction, feedforward,
image resolution, image segmentation, neural nets,
Visualization
BibRef
Li, X.[Xin],
Yang, F.[Fan],
Cheng, H.[Hong],
Liu, W.[Wei],
Shen, D.G.[Ding-Gang],
Contour Knowledge Transfer for Salient Object Detection,
ECCV18(XV: 370-385).
Springer DOI
1810
BibRef
Zhang, S.Q.[Shi-Quan],
Zhao, X.[Xu],
Fang, L.J.[Liang-Ji],
Fei, H.P.[Hai-Ping],
Song, H.T.[Hai-Tao],
LED: Localization-Quality Estimation Embedded Detector,
ICIP18(584-588)
IEEE DOI
1809
Light emitting diodes, Estimation, Detectors, Automobiles,
Feature extraction, Training, Object detection,
One-stage Detector
BibRef
Huang, K.,
Zhu, C.,
Li, G.,
Robust Salient Object Detection via Fusing Foreground and Background
Priors,
ICIP18(2341-2345)
IEEE DOI
1809
Estimation, Object detection, Principal component analysis,
Robustness, Task analysis, Image segmentation, geodesic distance
BibRef
Yu, R.[Ruichi],
Chen, X.[Xi],
Morariu, V.[Vlad],
Davis, L.S.[Larry S.],
The Role of Context Selection in Object Detection,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Pal, R.,
Roy, D.,
Enhancing Saliency of an Object Using Genetic Algorithm,
CRV17(337-344)
IEEE DOI
1804
feature extraction, genetic algorithms, image segmentation,
object detection, visual perception, feature dissimilarity,
genetic algorithm
BibRef
Kuan, K.,
Manek, G.,
Lin, J.,
Fang, Y.,
Chandrasekhar, V.,
Region average pooling for context-aware object detection,
ICIP17(1347-1351)
IEEE DOI
1803
Computer vision, Feature extraction, Object detection, Proposals,
Task analysis, Testing, Training, CNN, Context, Faster R-CNN,
Pooling
BibRef
Zhang, D.,
Han, J.,
Zhang, Y.,
Supervision by Fusion: Towards Unsupervised Learning of Deep Salient
Object Detector,
ICCV17(4068-4076)
IEEE DOI
1802
convolution, image fusion, neural nets, object detection,
unsupervised learning, DNNs, deep convolutional models,
Unsupervised learning
BibRef
Fan, D.P.,
Cheng, M.M.,
Liu, Y.,
Li, T.,
Borji, A.,
Structure-Measure: A New Way to Evaluate Foreground Maps,
ICCV17(4558-4567)
IEEE DOI
1802
image segmentation, object detection, SM, Structure-measure,
behavioral vision studies, evaluate foreground,
Prediction algorithms
BibRef
Rekik, F.[Farah],
Ayedi, W.[Walid],
Jallouli, M.[Mohamed],
Performance Evaluation of Multiscale Covariance Descriptor in
Underwater Object Detection,
CIAP17(II:258-266).
Springer DOI
1711
BibRef
Luo, Z.,
Mishra, A.,
Achkar, A.,
Eichel, J.,
Li, S.,
Jodoin, P.M.,
Non-local Deep Features for Salient Object Detection,
CVPR17(6593-6601)
IEEE DOI
1711
Computational modeling, Convolution, Feature extraction,
Image resolution, Image segmentation, Machine learning, Predictive, models
BibRef
Zhou, L.,
Yang, S.,
Yang, Y.,
Yang, Z.,
Geodesic distance and compactness prior based salient region
detection,
ICVNZ16(1-5)
IEEE DOI
1701
Diffusion processes
BibRef
López-Sastre, R.J.[Roberto J.],
Unsupervised Robust Feature-Based Partition Ensembling to Discover
Categories,
Robust16(1187-1195)
IEEE DOI
1612
Different features to aggregate different partitions to get objects.
BibRef
Cholakkal, H.[Hisham],
Johnson, J.[Jubin],
Rajan, D.[Deepu],
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down
Saliency,
CVPR16(5278-5287)
IEEE DOI
1612
BibRef
Lee, G.Y.[Ga-Young],
Tai, Y.W.[Yu-Wing],
Kim, J.[Junmo],
Deep Saliency with Encoded Low Level Distance Map and High Level
Features,
CVPR16(660-668)
IEEE DOI
1612
Salient regions
BibRef
Kim, J.[Jongpil],
Pavlovic, V.[Vladimir],
A shape preserving approach for salient object detection using
convolutional neural networks,
ICPR16(609-614)
IEEE DOI
1705
BibRef
And:
A Shape-Based Approach for Salient Object Detection Using Deep Learning,
ECCV16(IV: 455-470).
Springer DOI
1611
Computational modeling, Image segmentation, Neural networks,
Object detection, Proposals, Shape, Training
BibRef
Filali, I.[Idir],
Allili, M.S.[Mohand Said],
Benblidia, N.[Nadjia],
Multi-graph Based Salient Object Detection,
ICIAR16(318-324).
Springer DOI
1608
BibRef
Zou, W.,
Komodakis, N.,
HARF: Hierarchy-Associated Rich Features for Salient Object Detection,
ICCV15(406-414)
IEEE DOI
1602
Biological system modeling
BibRef
Xiang, D.[Dan],
Zhong, B.[Baojiang],
Ma, K.K.[Kai-Kuang],
A location-aware scale-space method for salient object detection,
ICIP15(4195-4199)
IEEE DOI
1512
Saliency detection
BibRef
Hati, A.[Avik],
Chaudhuri, S.[Subhasis],
Velmurugan, R.[Rajbabu],
Salient object carving,
ICIP15(1767-1771)
IEEE DOI
1512
Saliency; seam carving; texture removal
BibRef
Yildirim, G.[Gökhan],
Süsstrunk, S.[Sabine],
FASA: Fast, Accurate, and Size-Aware Salient Object Detection,
ACCV14(III: 514-528).
Springer DOI
1504
BibRef
Zhao, L.[Long],
Liang, S.[Shuang],
Wei, Y.C.[Yi-Chen],
Jia, J.Y.[Jin-Yuan],
Size and Location Matter: A New Baseline for Salient Object Detection,
ACCV14(III: 578-592).
Springer DOI
1504
BibRef
Zhou, Q.[Quan],
Cai, S.[Shu],
Zhu, S.J.[Shao-Jun],
Zheng, B.[Baoyu],
Salient Object Detection Using Window Mask Transferring with
Multi-layer Background Contrast,
ACCV14(III: 221-235).
Springer DOI
1504
BibRef
Lu, S.J.[Shi-Jian],
Kim, B.U.[Byung-Uck],
Lomenie, N.[Nicolas],
Lim, J.H.[Joo-Hwee],
Cai, J.F.[Jian-Fei],
Search Guided Saliency,
AutoSystems14(443-456).
Springer DOI
1504
BibRef
Xiang, D.[Dao],
Wang, Z.[Zilei],
Salient Object Detection via Saliency Spread,
AutoSystems14(457-472).
Springer DOI
1504
BibRef
Seo, Y.[Yuna],
Lee, D.[Donghoon],
Yoo, C.D.[Chang D.],
Salient object detection using bipartite dictionary,
ICIP14(1145-1149)
IEEE DOI
1502
Bismuth
BibRef
Gao, H.Y.[Hong-Yun],
Lam, K.M.[Kin-Man],
Salient object detection using octonion with Bayesian inference,
ICIP14(3292-3296)
IEEE DOI
1502
Analytical models
BibRef
Holzbach, A.[Andreas],
Cheng, G.[Gordon],
A scalable and efficient method for salient region detection using
sampled template collation,
ICIP14(1110-1114)
IEEE DOI
1502
Benchmark testing
BibRef
Li, Y.[Yin],
Hou, X.D.[Xiao-Di],
Koch, C.[Christof],
Rehg, J.M.[James M.],
Yuille, A.L.[Alan L.],
The Secrets of Salient Object Segmentation,
CVPR14(280-287)
IEEE DOI
1409
Saliency; dataset analysis; eye fixation; salient object segmentation
BibRef
He, S.F.[Sheng-Feng],
Lau, R.W.H.[Rynson W. H.],
Exemplar-Driven Top-Down Saliency Detection via Deep Association,
CVPR16(5723-5732)
IEEE DOI
1612
BibRef
Earlier:
Saliency Detection with Flash and No-flash Image Pairs,
ECCV14(III: 110-124).
Springer DOI
1408
Only closer (foreground or salient) objects are well lit by the flash.
BibRef
Cao, H.[Hai],
Li, S.Z.[Shao-Zi],
Su, S.Z.[Song-Zhi],
Cheng, Y.[Yun],
Ji, R.R.[Rong-Rong],
Saliency detection by adaptive clustering,
VCIP13(1-6)
IEEE DOI
1402
feature extraction
BibRef
Cheng, M.M.[Ming-Ming],
Warrell, J.[Jonathan],
Lin, W.Y.[Wen-Yan],
Zheng, S.[Shuai],
Vineet, V.[Vibhav],
Crook, N.[Nigel],
Efficient Salient Region Detection with Soft Image Abstraction,
ICCV13(1529-1536)
IEEE DOI
1403
image abstraction
BibRef
Jia, Y.Q.[Yang-Qing],
Han, M.[Mei],
Category-Independent Object-Level Saliency Detection,
ICCV13(1761-1768)
IEEE DOI
1403
objectness; saliency detection
BibRef
Li, X.[Xi],
Li, Y.[Yao],
Shen, C.H.[Chun-Hua],
Dick, A.[Anthony],
van den Hengel, A.J.[Anton J.],
Contextual Hypergraph Modeling for Salient Object Detection,
ICCV13(3328-3335)
IEEE DOI
1403
Saliency detection; Salient Object Detection
BibRef
Jiang, P.[Peng],
Ling, H.B.[Hai-Bin],
Yu, J.Y.[Jing-Yi],
Peng, J.L.[Jing-Liang],
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness,
ICCV13(1976-1983)
IEEE DOI
1403
BibRef
Zhu, L.[Lei],
Klein, D.A.[Dominik A.],
Frintrop, S.[Simone],
Cao, Z.G.[Zhi-Guo],
Cremers, A.B.[Armin B.],
Multi-scale region-based saliency detection using W2 distance on
N-dimensional normal distributions,
ICIP13(176-180)
IEEE DOI
1402
Benchmark testing
BibRef
Zhang, Z.Z.[Zhen-Zhen],
Cao, J.J.[Jun-Jie],
Zhong, G.Y.[Guang-Yu],
Liu, W.Y.[Wang-Yi],
Su, Z.[Zhixun],
Object level image saliency by hierarchical segmentation,
ICIP13(1772-1776)
IEEE DOI
1402
Object level image saliency
BibRef
Liang, J.[Jie],
Zhou, J.[Jun],
Bai, X.[Xiao],
Qian, Y.T.[Yun-Tao],
Salient object detection in hyperspectral imagery,
ICIP13(2393-2397)
IEEE DOI
1402
Saliency detection;hyperspectral imaging;object detection
BibRef
Shuai, J.[Jiamei],
Qing, L.Y.[Lai-Yun],
Miao, J.[Jun],
Ma, Z.G.[Zhi-Guo],
Chen, X.L.[Xi-Lin],
Salient region detection via texture-suppressed background contrast,
ICIP13(2470-2474)
IEEE DOI
1402
Background contrast
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Fu, K.[Keren],
Gong, C.[Chen],
Gu, I.Y.H.[Irene Y.H.],
Yang, J.[Jie],
Geodesic saliency propagation for image salient region detection,
ICIP13(3278-3282)
IEEE DOI
1402
Geodesic distance;Saliency detection;Saliency map;Saliency propagation
BibRef
Vilaplana, V.[Veronica],
Muntaner, G.[Guillermo],
Salient object detection on a hierarchy of image partitions,
ICIP13(3317-3320)
IEEE DOI
1402
hierarchical segmentation;object saliency;region-based saliency map
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Kim, J.[Jiwhan],
Lee, H.[Hansang],
Kim, J.[Junmo],
A novel method for salient object detection via compactness
measurement,
ICIP13(3426-3430)
IEEE DOI
1402
Salient object detection;compactness;superpixel
BibRef
Schauerte, B.,
Stiefelhagen, R.,
How the distribution of salient objects in images influences salient
object detection,
ICIP13(74-78)
IEEE DOI
1402
Adaptation models
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Boudissa, A.[Ahmed],
Tan, J.[Joo_Kooi],
Kim, H.[Hyoungseop],
A Global-Local Approach to Saliency Detection,
CAIP13(II:332-337).
Springer DOI
1311
BibRef
Kinnunen, T.[Teemu],
Laine-Hernandez, M.[Mari],
Oittinen, P.[Pirkko],
Evaluating Local Feature Detectors in Salient Region Detection,
SCIA13(85-94).
Springer DOI
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Color for Salient Regions .