7.1.10.1 Salient Regions, Saliencey for Regions

Chapter Contents (Back)
Salient Regions. Salient Objects. Object Detection.
See also Color for Salient Regions.
See also RGB-D Salient Object Segmentation and Detection.
See also Convolutional Neural Networks for Object Detection and Segmentation.
See also Encoder-Decoder Networks for Semantic Segmentation.
See also Instance of Particular Object, Specified Object.

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A novel approach for salient image regions detection and description,
PRL(30), No. 16, 1 December 2009, pp. 1464-1476.
Elsevier DOI 0911
Visual landmarks; Irregular pyramids; Salient image regions detection; Kernel-based description BibRef

Bao, H.[Hong], Xu, D.[De], Tang, Y.J.[Ying-Jun],
Global-Context Based Salient Region Detection in Nature Images,
IEICE(E95-D), No. 5, May 2012, pp. 1556-1559.
WWW Link. 1202
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Borji, A.[Ali], Sihite, D.N.[Dicky N.], Itti, L.[Laurent],
Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study,
IP(22), No. 1, January 2013, pp. 55-69.
IEEE DOI 1301
BibRef
Earlier:
Salient Object Detection: A Benchmark,
ECCV12(II: 414-429).
Springer DOI 1210
BibRef

Borji, A.[Ali],
What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,
IP(24), No. 2, February 2015, pp. 742-756.
IEEE DOI 1502
object detection BibRef

Wu, P.H., Chen, C.C., Ding, J.J., Hsu, C.Y., Huang, Y.W.,
Salient Region Detection Improved by Principle Component Analysis and Boundary Information,
IP(22), No. 9, 2013, pp. 3614-3624.
IEEE DOI 1309
L_0 smoothing filter BibRef

Fu, H., Cao, X., Tu, Z.,
Cluster-Based Co-Saliency Detection,
IP(22), No. 10, 2013, pp. 3766-3778.
IEEE DOI 1309
Saliency detection BibRef

Feng, S.[Songhe], Lang, C.Y.[Cong-Yan], Liu, H.Z.[Hong-Zhe], Huang, X.K.[Xian-Kai],
Adaptive all-season image tag ranking by saliency-driven image pre-classification,
JVCIR(24), No. 7, 2013, pp. 1031-1039.
Elsevier DOI 1309
Adaptive tag ranking BibRef

Zhu, G.K.[Guo-Kang], Wang, Q.[Qi], Yuan, Y.[Yuan],
Tag-Saliency: Combining bottom-up and top-down information for saliency detection,
CVIU(118), No. 1, 2014, pp. 40-49.
Elsevier DOI 1312
Computer vision BibRef

Du, S.[Shuze], Chen, S.F.[Shi-Feng],
Salient Object Detection via Random Forest,
SPLetters(21), No. 1, January 2014, pp. 51-54.
IEEE DOI 1402
image segmentation BibRef

Singh, N.[Navjot], Arya, R.[Rinki], Agrawal, R.K.,
A novel approach to combine features for salient object detection using constrained particle swarm optimization,
PR(47), No. 4, 2014, pp. 1731-1739.
Elsevier DOI 1402
Salient object detection BibRef

Yeh, H.H.[Hsin-Ho], Liu, K.H.[Keng-Hao], Chen, C.S.[Chu-Song],
Salient object detection via local saliency estimation and global homogeneity refinement,
PR(47), No. 4, 2014, pp. 1740-1750.
Elsevier DOI 1402
Salient object detection BibRef

Zhou, L.[Lei], Fu, K.[Keren], Li, Y.J.[Yi-Jun], Qiao, Y.[Yu], He, X.J.[Xiang-Jian], Yang, J.[Jie],
Bayesian salient object detection based on saliency driven clustering,
SP:IC(29), No. 3, 2014, pp. 434-447.
Elsevier DOI 1403
Saliency object detection BibRef

Zhu, Z.F.[Zhen-Feng], Chen, Q.[Qian], Zhao, Y.[Yao],
Ensemble dictionary learning for saliency detection,
IVC(32), No. 3, 2014, pp. 180-188.
Elsevier DOI 1403
Saliency detection BibRef

Huang, M., Liu, Z., Li, G., Zhou, X., Le Meur, O.[Olivier],
FANet: Features Adaptation Network for 360° Omnidirectional Salient Object Detection,
SPLetters(27), 2020, pp. 1819-1823.
IEEE DOI 2011
Feature extraction, Distortion, Integrated circuits, Object detection, Fuses, Faces, multi-level features adaptation BibRef

Yeh, M.C.[Mei-Chen], Hsu, C.F.[Chih-Fan], Lu, C.J.[Chia-Ju],
Fast salient object detection through efficient subwindow search,
PRL(46), No. 1, 2014, pp. 60-66.
Elsevier DOI 1407
Object detection BibRef

Zhou, W., Song, T., Lin, L., Lumsdaine, A.,
Multi-scale contrast-based saliency enhancement for salient object detection,
IET-CV(8), No. 3, June 2014, pp. 207-215.
DOI Link 1407
BibRef

Xu, L.F.[Lin-Feng], Zeng, L.Y.[Liao-Yuan], Duan, H.P.[Hui-Ping], Sowah, N.[Nii],
Saliency detection in complex scenes,
JIVP(2014), No. 1, 2014, pp. 31.
DOI Link 1407
BibRef

Tian, H.W.[Hua-Wei], Fang, Y.M.[Yu-Ming], Zhao, Y.[Yao], Lin, W.S.[Wei-Si], Ni, R.R.[Rong-Rong], Zhu, Z.F.[Zhen-Feng],
Salient Region Detection by Fusing Bottom-Up and Top-Down Features Extracted From a Single Image,
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.,
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects,
SIViP(9), No. 2, February 2015, pp. 427-435.
WWW Link. 1503
BibRef

Sun, J., Lu, H., Liu, X.,
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 Reconstruction Residual,
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 BibRef

Fareed, M.M.S.[Mian Muhammad Sadiq], Ahmed, G.[Gulnaz], 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], Asif, M.R.[Muhammad Rizwan], Bibi, I.[Irfana],
Maximum mean discrepancy regularized sparse reconstruction for robust salient regions detection,
SP:IC(54), No. 1, 2017, pp. 66-80.
Elsevier DOI 1704
Maximum mean discrepancy BibRef

Li, Z.Y.[Zuo-Yong], Liu, G.H.[Guang-Hai], Zhang, D.[David], Xu, Y.[Yong],
Robust single-object image segmentation based on salient transition region,
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], Zhang, M.J.[Meng-Jie],
Contextual-based top-down saliency feature weighting for target detection,
MVA(27), No. 5, August 2016, pp. 893-914.
WWW Link. 1609
BibRef

Zhang, H.[Hanling], Xu, M.[Min], Zhuo, L.Y.[Li-Yuan], Havyarimana, V.[Vincent],
A novel optimization framework for salient object detection,
VC(32), No. 1, January 2016, pp. 31-41.
WWW Link. 1602
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Shi, J.P.[Jian-Ping], Yan, Q.[Qiong], 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], Chen, S.H.[Shu-Han],
Region saliency detection via multi-feature on absorbing Markov chain,
VC(32), No. 3, March 2016, pp. 275-287.
WWW Link. 1604
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Aytekin, Ç.[Çaglar], Kiranyaz, S.[Serkan], Gabbouj, M.[Moncef],
Learning to rank salient segments extracted by multispectral Quantum Cuts,
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
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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
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Earlier: A1, A2, Only:
A case-based reasoning approach for detection of salient regions in images,
ICCVGIP10(48-55).
DOI Link 1111
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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
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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
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Lin, H.F.[Hua-Feng], Li, J.[Jing], 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 1709
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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
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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
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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
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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
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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
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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
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Dai, B.[Bo], Ye, W.J.[Wei-Jing], Zheng, J.[Jing], Chai, Q.Y.[Qian-Yi], Yao, Y.Y.[Yi-Yang],
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JVCIR(67), 2020, pp. 102756.
Elsevier DOI 2004
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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
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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.
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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
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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
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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
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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.
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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.
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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,
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Wang, Y.Z.[Yan-Zhao], Peng, G.H.[Guo-Hua],
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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
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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 detection in noisy images,
SIViP(14), No. 1, February 2020, pp. 167-175.
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Chen, S.[Shuhan], Tan, X.L.[Xiu-Li], 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., Wu, J., 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 clustering and CRF,
IET-CV(14), No. 2, March 2020, pp. 49-58.
DOI Link 2002
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Xu, C.[Cheng], Han, W.[Wei], Wang, D.Z.[Dong-Zhen], Huang, D.Q.[Da-Qing],
Salient Region Detection with Multi-Feature Fusion and Edge Constraint,
IEICE(E103-D), No. 4, April 2020, pp. 910-913.
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Luo, R.H.[Rong-Hua], Huang, H.L.[Huai-Lin], Wu, W.Z.[Wei-Zeng],
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, and gabor filters,
MVA(31), No. 3, March 2020, pp. Article17.
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Liu, Z.Y.[Zheng-Yi], Tang, J.T.[Ji-Ting], Zhao, P.[Peng],
Salient object detection via hybrid upsampling and hybrid loss computing,
VC(36), No. 4, April 2020, pp. 843-853.
Springer DOI 2004
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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
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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
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Singh, V.K.[Vivek Kumar], Kumar, N.[Nitin],
Saliency bagging: a novel framework for robust salient object detection,
VC(36), No. 7, July 2020, pp. 1423-1441.
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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 detection,
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 its application in content aware seam carving,
SP:IC(87), 2020, pp. 115890.
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
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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.
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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,
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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,
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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


Gao, S.H.[Shang-Hua], Tan, Y.Q.A.[Yong-Qi-Ang], Cheng, M.M.[Ming-Ming], Lu, C.Z.[Cheng-Ze], Chen, Y.P.[Yun-Peng], Yan, S.C.[Shui-Cheng],
Highly Efficient Salient Object Detection with 100k Parameters,
ECCV20(VI:702-721).
Springer DOI 2011
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
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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
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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 BibRef

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 BibRef

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 BibRef

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 1311
BibRef

Wang, J.D.[Jing-Dong], Jiang, H.Z.[Huai-Zu], Yuan, Z.J.[Ze-Jian], Cheng, M.M.[Ming-Ming], Hu, X.W.[Xiao-Wei], Zheng, N.N.[Nan-Ning],
Salient Object Detection: A Discriminative Regional Feature Integration Approach,
IJCV(123), No. 2, June 2017, pp. 251-268.
Springer DOI 1705
BibRef

Jiang, H.Z.[Huai-Zu], Wang, J.D.[Jing-Dong], Yuan, Z.J.[Ze-Jian], Wu, Y.[Yang], Zheng, N.N.[Nan-Ning], Li, S.P.[Shi-Peng],
Salient Object Detection: A Discriminative Regional Feature Integration Approach C,
CVPR13(2083-2090)
IEEE DOI 1309
BibRef

Huang, Y.[Yan], Wang, W.[Wei], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
An effective regional saliency model based on extended site entropy rate,
ICPR12(1407-1410).
WWW Link. 1302
BibRef

Cheung, Y.M.[Yiu-Ming], Peng, Q.[Qinmu],
Salient region detection using local and global saliency,
ICPR12(210-213).
WWW Link. 1302
BibRef

Scharfenberger, C.[Christian], Jain, A.[Aanchal], Wong, A.[Alexander], Fieguth, P.W.[Paul W.],
Image saliency detection via multi-scale statistical non-redundancy modeling,
ICIP14(4294-4298)
IEEE DOI 1502
Computational modeling BibRef

Jain, A.[Aanchal], Wong, A.[Alexander], Fieguth, P.W.[Paul W.],
Saliency detection via statistical non-redundancy,
ICIP12(1073-1076).
IEEE DOI 1302
BibRef

Sun, J.[Jing], Lu, H.C.[Hu-Chuan], Li, S.F.[Shi-Feng],
Saliency detection based on integration of boundary and soft-segmentation,
ICIP12(1085-1088).
IEEE DOI 1302
BibRef

Tang, H.[Hao],
Object-aware saliency detection for consumer images,
ICIP12(1097-1100).
IEEE DOI 1302
BibRef

Wang, P.[Peng], Wang, J.D.[Jing-Dong], Zeng, G.[Gang], Feng, J.[Jie], Zha, H.B.[Hong-Bin], Li, S.P.[Shi-Peng],
Salient object detection for searched web images via global saliency,
CVPR12(3194-3201).
IEEE DOI 1208
BibRef

Perazzi, F.[Federico], Krahenbuhl, P.[Philipp], Pritch, Y.[Yael], Hornung, A.[Alexander],
Saliency filters: Contrast based filtering for salient region detection,
CVPR12(733-740).
IEEE DOI 1208
BibRef

Shen, X.H.[Xiao-Hui], Wu, Y.[Ying],
A unified approach to salient object detection via low rank matrix recovery,
CVPR12(853-860).
IEEE DOI 1208
BibRef

Feng, J.[Jie], Wei, Y.C.[Yi-Chen], Tao, L.T.[Li-Tian], Zhang, C.[Chao], Sun, J.[Jian],
Salient object detection by composition,
ICCV11(1028-1035).
IEEE DOI 1201
Saliency of a window, not just a point. BibRef

Klein, D.A.[Dominik A.], Frintrop, S.[Simone],
Center-surround divergence of feature statistics for salient object detection,
ICCV11(2214-2219).
IEEE DOI 1201
BibRef

Katramados, I.[Ioannis], Breckon, T.P.[Toby P.],
Real-time visual saliency by Division of Gaussians,
ICIP11(1701-1704).
IEEE DOI 1201
BibRef

Saber, Y.[Yusuf], Kyan, M.[Matthew],
High resolution biologically inspired salient region detection,
ICIP11(649-652).
IEEE DOI 1201
BibRef

Xie, Y.L.[Yu-Lin], Lu, H.C.[Hu-Chuan],
Visual saliency detection based on Bayesian model,
ICIP11(645-648).
IEEE DOI 1201
BibRef

Jiang, H.Z.[Huai-Zu], Wang, J.D.[Jing-Dong], Yuan, Z.J.[Ze-Jian], Liu, T.[Tie], Zheng, N.N.[Nan-Ning],
Automatic salient object segmentation based on context and shape prior,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Pei, C.[Chaoke], Gao, L.[Li], Wang, D.H.[Dong-Hui], Hong, Y.[Ying],
A PFT Visual Attention Detection Model Using Bayesian Framework,
ICIG11(816-820).
IEEE DOI 1109
Phase spectrum of Fourier Transform. Salient object. BibRef

Duan, L.J.[Li-Juan], Wu, C.P.[Chun-Peng], Miao, J.[Jun], Qing, L.Y.[Lai-Yun], Fu, Y.[Yu],
Visual saliency detection by spatially weighted dissimilarity,
CVPR11(473-480).
IEEE DOI 1106
BibRef

Vikram, T.N.[Tadmeri Narayan], Tscherepanow, M.[Marko], Wrede, B.[Britta],
A random center surround bottom up visual attention model useful for salient region detection,
WACV11(166-173).
IEEE DOI 1101
BibRef

Dong, M.[Ming], Chen, Y.H.[Yan-Hua],
Salient region detection and feature extraction in 3D visual data,
ICIP08(185-188).
IEEE DOI 0810
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Color for Salient Regions .


Last update:Jan 24, 2021 at 20:22:03