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Elsevier DOI
0911
Visual landmarks; Irregular pyramids; Salient image regions detection;
Kernel-based description
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Itti, L.[Laurent],
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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
Feng, S.H.[Song-He],
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
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
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
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
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MVA(27), No. 5, August 2016, pp. 893-914.
WWW Link.
1609
BibRef
Zhang, H.L.[Han-Ling],
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
BibRef
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
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
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
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
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
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],
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
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
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
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
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
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.J.[Yu-Jia],
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
convolutional neural nets, graph theory,
image segmentation, inference mechanisms, probability, ConnNet,
connectivity
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
feature extraction, image classification,
image segmentation, learning (artificial intelligence),
spatially consistent saliency
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
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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1908
BibRef
Chen, W.B.[Wen-Bing],
Dahal, K.[Keshav],
Huang, S.X.[Shu-Xian],
Salient object detection via reciprocal function filter,
IET-IPR(13), No. 10, 22 August 2019, pp. 1616-1624.
DOI Link
1909
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
Li, Y.X.[Yu-Xuan],
Hou, Q.[Qibin],
Zheng, Z.H.[Zhao-Hui],
Cheng, M.M.[Ming-Ming],
Yang, J.[Jian],
Li, X.A.[Xi-Ang],
Large Selective Kernel Network for Remote Sensing Object Detection,
ICCV23(16748-16759)
IEEE DOI
2401
BibRef
Yue, H.H.[Hui-Hui],
Guo, J.[Jichang],
Yin, X.J.[Xiang-Jun],
Zhang, Y.[Yi],
Wen, B.[Bihan],
Li, C.Y.[Chong-Yi],
Salient Object Detection Toward Single-Pixel Imaging,
CirSysVideo(34), No. 1, January 2024, pp. 235-247.
IEEE DOI
2401
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],
Peng, G.H.[Guo-Hua],
Salient object detection via incorporating multiple manifold ranking,
SIViP(13), No. 8, November 2019, pp. 1603-1610.
WWW Link.
1911
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.W.[Xue-Wen],
Li, Y.B.[Yi-Bin],
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
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.
WWW Link.
2001
BibRef
Zhang, L.H.[Li-He],
Wu, J.[Jie],
Wang, T.T.[Tian-Tian],
Borji, A.[Ali],
Wei, G.H.[Guo-Hua],
Lu, H.C.[Hu-Chuan],
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
BibRef
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.
WWW Link.
2004
BibRef
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
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
BibRef
Li, C.Y.[Cheng-Yuan],
Luo, B.[Bin],
Hong, H.L.[Hai-Long],
Su, X.[Xin],
Wang, Y.J.[Ya-Jun],
Liu, J.[Jun],
Wang, C.J.[Chen-Jie],
Zhang, J.[Jing],
Wei, L.H.[Lin-Hai],
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,
VC(36), No. 7, July 2020, pp. 1423-1441.
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2005
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
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
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
Hu, X.,
Fu, C.W.,
Zhu, L.,
Wang, T.,
Heng, P.A.,
SAC-Net: Spatial Attenuation Context for Salient Object Detection,
CirSysVideo(31), No. 3, March 2021, pp. 1079-1090.
IEEE DOI
2103
Attenuation, Feature extraction, Object detection, Aggregates,
Semantics, Spatial resolution, Spatial attenuation context,
deep learning
BibRef
Wu, Y.H.[Yun-He],
Jia, T.[Tong],
Pang, Y.[Yu],
Sun, J.[Jiaduo],
Xue, D.[Dingyu],
Salient object detection via a boundary-guided graph structure,
JVCIR(75), 2021, pp. 103048.
Elsevier DOI
2103
Salient object detection, Coarse saliency map,
Weighting integration framework,
Iterative propagation mechanism
BibRef
Ren, Q.H.[Qing-Hua],
Lu, S.J.[Shi-Jian],
Zhang, J.X.[Jin-Xia],
Hu, R.J.[Ren-Jie],
Salient Object Detection by Fusing Local and Global Contexts,
MultMed(23), 2021, pp. 1442-1453.
IEEE DOI
2105
Feature extraction, Computational modeling, Visualization,
Task analysis, Predictive models, Object detection,
salient object detection
BibRef
Jia, F.W.[Feng-Wei],
Wang, X.[Xuan],
Guan, J.[Jian],
Li, H.[Huale],
Qiu, C.[Chen],
Qi, S.H.[Shu-Han],
ARank: Toward specific model pruning via advantage rank for multiple
salient objects detection,
IVC(111), 2021, pp. 104192.
Elsevier DOI
2106
Model compression, Model pruning, Salient object detection,
Multiple salient object detection
BibRef
Zhao, D.P.[Dan-Pei],
Yuan, B.[Bo],
Shi, Z.W.[Zhen-Wei],
Jiang, Z.G.[Zhi-Guo],
Selective focus saliency model driven by object class-awareness,
IET-IPR(15), No. 6, 2021, pp. 1332-1344.
DOI Link
2106
BibRef
Wu, Z.[Zhe],
Su, L.[Li],
Huang, Q.M.[Qing-Ming],
Decomposition and Completion Network for Salient Object Detection,
IP(30), 2021, pp. 6226-6239.
IEEE DOI
2107
Image edge detection, Skeleton, Task analysis, Object detection,
Predictive models, Feature extraction, Decoding, saliency completion
BibRef
Cheng, M.M.[Ming-Ming],
Fan, D.P.[Deng-Ping],
Structure-Measure: A New Way to Evaluate Foreground Maps,
IJCV(129), No. 9, September 2021, pp. 2622-2638.
Springer DOI
2108
BibRef
Earlier:
Add:
Liu, Y.,
Li, T.,
Borji, A.,
ICCV17(4558-4567)
IEEE DOI
1802
image segmentation, object detection, SM, Structure-measure,
behavioral vision studies, evaluate foreground,
Prediction algorithms
BibRef
Li, J.[Jia],
Su, J.M.[Jin-Ming],
Xia, C.Q.[Chang-Qun],
Ma, M.C.[Ming-Can],
Tian, Y.H.[Yong-Hong],
Salient Object Detection With Purificatory Mechanism and Structural
Similarity Loss,
IP(30), 2021, pp. 6855-6868.
IEEE DOI
2108
Object detection, Image restoration, Computational modeling,
Predictive models, Task analysis, Visualization, Semantics,
structural similarity
BibRef
Wang, S.G.[Shi-Gang],
Yang, S.Y.[Shu-Yuan],
Wang, M.[Min],
Jiao, L.C.[Li-Cheng],
New Contour Cue-Based Hybrid Sparse Learning for Salient Object
Detection,
Cyber(51), No. 8, August 2021, pp. 4212-4226.
IEEE DOI
2108
Object detection, Biological system modeling, Visualization,
Optimization, Computational modeling, Saliency detection,
salient object detection
BibRef
Moradi, M.[Morteza],
Bayat, F.[Farhad],
Charmi, M.[Mostafa],
A salient object detection framework using linear quadratic regulator
controller,
JVCIR(79), 2021, pp. 103259.
Elsevier DOI
2109
Salient object detection, Control system,
Linear quadratic regulator, Optimal control, Angular embedding
BibRef
Liu, Y.[Yun],
Gu, Y.C.[Yu-Chao],
Zhang, X.Y.[Xin-Yu],
Wang, W.W.[Wei-Wei],
Cheng, M.M.[Ming-Ming],
Lightweight Salient Object Detection via Hierarchical Visual
Perception Learning,
Cyber(51), No. 9, September 2021, pp. 4439-4449.
IEEE DOI
2109
Convolution, Visualization, Kernel, Visual perception,
Computational modeling, Object detection, Task analysis,
lightweight salient object detection (SOD)
BibRef
Yang, Z.Y.[Zi-Yun],
Soltanian-Zadeh, S.[Somayyeh],
Farsiu, S.[Sina],
BiconNet: An edge-preserved connectivity-based approach for salient
object detection,
PR(121), 2022, pp. 108231.
Elsevier DOI
2109
Salient object detection, Visual saliency,
Connectivity modeling, Deep learning, Edge modeling
BibRef
Jiang, X.R.[Xiu-Rong],
Zhu, L.[Lin],
Tian, H.[Hui],
Learning event guided network for salient object detection,
PRL(151), 2021, pp. 317-324.
Elsevier DOI
2110
Salient object detection, Event-based vision,
Long short-term memory, Image saliency, Visual attention
BibRef
Yang, S.[Sheng],
Lin, W.S.[Wei-Si],
Lin, G.S.[Guo-Sheng],
Jiang, Q.P.[Qiu-Ping],
Liu, Z.C.[Zi-Chuan],
Progressive Self-Guided Loss for Salient Object Detection,
IP(30), 2021, pp. 8426-8438.
IEEE DOI
2110
Training, Feature extraction, Predictive models, Adaptation models,
Visualization, Object detection, Task analysis,
morphological operation
BibRef
Sun, H.[Han],
Cen, J.[Jun],
Liu, N.Z.[Ning-Zhong],
Liang, D.[Dong],
Zhou, H.Y.[Hui-Yu],
MPI: Multi-receptive and parallel integration for salient object
detection,
IET-IPR(15), No. 13, 2021, pp. 3281-3291.
DOI Link
2110
BibRef
Liu, J.J.[Jiang-Jiang],
Liu, Z.A.[Zhi-Ang],
Peng, P.[Pai],
Cheng, M.M.[Ming-Ming],
Rethinking the U-Shape Structure for Salient Object Detection,
IP(30), 2021, pp. 9030-9042.
IEEE DOI
2112
Feature extraction, Object detection, Interpolation, Calibration,
Data mining, Semantics, Pipelines, Salient object detection,
deep learning
BibRef
Sun, L.[Luna],
Chen, Z.[Zhenxue],
Wu, Q.M.J.[Q. M. Jonathan],
Zhao, H.J.[Hong-Jian],
He, W.[Weikai],
Yan, X.[Xinghe],
AMPNet: Average- and Max-Pool Networks for Salient Object Detection,
CirSysVideo(31), No. 11, November 2021, pp. 4321-4333.
IEEE DOI
2112
Feature extraction, Convolution, Semantics, Object detection,
Visualization, Task analysis, Neural networks, Average pool,
two top-down paths
BibRef
Hussain, R.[Rukhshanda],
Karbhari, Y.[Yash],
Ijaz, M.F.[Muhammad Fazal],
Wozniak, M.[Marcin],
Singh, P.K.[Pawan Kumar],
Sarkar, R.[Ram],
Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object
Detection,
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Salient object detection, Saliency,
Multi-level feature aggregation, Attention, Salient edge
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IEEE DOI
2112
Convolution, Object detection, Correlation, Neural networks,
Image segmentation, Inference algorithms, Instruction sets,
salient object detection
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MultMed(24), 2022, pp. 73-86.
IEEE DOI
2202
Training data, Training, Feature extraction, Logic gates,
Object detection, Visualization, Task analysis, Bi-stream fusion,
small-scale training set
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Mei, H.Y.[Hai-Yang],
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CirSysVideo(32), No. 3, March 2022, pp. 1378-1389.
IEEE DOI
2203
Feature extraction, Object detection, Decoding, Semantics, Kernel,
Visualization, Task analysis, Salient object detection,
attentive skip-connection
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PAMI(44), No. 6, June 2022, pp. 3239-3259.
IEEE DOI
2205
Object detection, Visualization, Predictive models,
Analytical models, Deep learning, Computational modeling,
image saliency
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Wang, J.Z.[Jian-Zhe],
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IVC(122), 2022, pp. 104442.
Elsevier DOI
2205
Deep learning, Salient object detection, Feature aggregation, Complex boundary
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Nie, G.Y.[Guang-Yu],
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DNA: Deeply Supervised Nonlinear Aggregation for Salient Object
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Cyber(52), No. 7, July 2022, pp. 6131-6142.
IEEE DOI
2207
DNA, Saliency detection, Object detection, Feature extraction,
Convolution, Detectors, Semantics,
salient object detection
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Elsevier DOI
2208
Deep learning, Salient object detection, Position prior, Feature fusion
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Salient object detection, Neural networks,
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2209
Measurement, Codes, Semantics, Object detection, Benchmark testing,
Feature extraction, Saliency detection, Salient object detection,
boundary information guidance
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IP(31), 2022, pp. 5989-6001.
IEEE DOI
2209
Feature extraction, Object detection, Visualization, Semantics,
Task analysis, Saliency detection, Cognition,
curiosity-driven learning
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Gao, S.H.[Shang-Hua],
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IEEE DOI
2210
Semantics, Task analysis, Feature extraction,
Computational modeling, Analytical models, Object detection, semantics
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Tan, Y.Q.[Yong-Qiang],
Cheng, M.M.[Ming-Ming],
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IEEE DOI
2211
Routing, Feature extraction, DSL, Task analysis, Logic gates,
Semantics, Object detection, Salient object detection,
hard sample mining
BibRef
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IP(31), 2022, pp. 6649-6663.
IEEE DOI
2211
Kernel, Decoding, Feature extraction, Routing, Deep learning,
Object detection, Technological innovation,
salient object detection
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Zhang, D.W.[Ding-Wen],
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IP(31), 2022, pp. 6719-6732.
IEEE DOI
2211
Routing, Object detection, Semantics, Feature extraction,
Task analysis, Visualization, Detectors, Salient object detection,
multi-level information integration
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Song, Y.[Yue],
Tang, H.[Hao],
Zhao, M.[Mengyi],
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IP(31), 2022, pp. 7144-7153.
IEEE DOI
2212
Feature extraction, Image edge detection, Convergence,
Saliency detection, Predictive models, Analytical models, Decoding,
low-level vision
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Li, Z.[Zun],
Lang, C.[Congyan],
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IEEE DOI
2212
Feature extraction, Object detection, Visualization, Semantics,
Saliency detection, Convolution, Stacking,
dense attentive feature enhancement
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PAMI(45), No. 1, January 2023, pp. 887-904.
IEEE DOI
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Feature extraction, Object detection, Task analysis, Semantics,
Image edge detection, Image segmentation, mobile application
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IEEE DOI
2301
Dogs, Portable computers, Computers, Bicycles, Glass,
Benchmark testing, Adaptation models, Salient object detection
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Wang, X.Z.[Xing-Zheng],
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Light-field, Salient object detection, Transformer
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Zhou, X.F.[Xiao-Fei],
Zhu, B.[Bin],
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Elsevier DOI
2301
Light field, Focal slice retrieval, Similarity retrieval,
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IP(32), 2023, pp. 1026-1038.
IEEE DOI
2302
Feature extraction, Semantics, Transformers, Object detection,
Decoding, Boosting, Switches, Salient object detection,
loop compensation
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Zhuge, M.C.[Ming-Chen],
Fan, D.P.[Deng-Ping],
Liu, N.[Nian],
Zhang, D.W.[Ding-Wen],
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Salient Object Detection via Integrity Learning,
PAMI(45), No. 3, March 2023, pp. 3738-3752.
IEEE DOI
2302
Feature extraction, Image edge detection, Object detection,
Context modeling, Task analysis, Semantics, Predictive models,
integrity learning
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Lin, Q.H.[Qi-Hui],
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IET-IPR(17), No. 3, 2023, pp. 849-861.
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cascade decoder, loss function, salient object detection, window self-attention
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Qiu, Y.[Yu],
Liu, Y.[Yun],
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A2SPPNet: Attentive Atrous Spatial Pyramid Pooling Network for
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IEEE DOI
2306
Feature extraction, Semantics, Decoding, Object detection, Noise measurement,
Salient object detection, saliency detection, attention mechanism
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Jiao, S.[Siyu],
Goel, V.[Vidit],
Navasardyan, S.[Shant],
Yang, Z.X.[Zong-Xin],
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IEEE DOI
2308
Convolution, Task analysis, Head, Feature extraction, Decoding,
Transformers, Object detection, Salient object detection,
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Li, G.[Guofa],
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SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based
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IEEE DOI
2310
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IEEE DOI
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Li, J.[Jia],
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Depth-Width Tradeoff,
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IEEE DOI
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Zhu, J.C.[Jin-Chao],
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Fang, X.[Xian],
Wang, Y.X.[Yu-Xuan],
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MultMed(25), 2023, pp. 6525-6537.
IEEE DOI
2311
BibRef
Wu, J.J.[Jun-Jie],
Xia, C.[Changqun],
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View-Aware Salient Object Detection for 360° Omnidirectional Image,
MultMed(25), 2023, pp. 6471-6484.
IEEE DOI
2311
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Yue, H.H.[Hui-Hui],
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Yin, X.J.[Xiang-Jun],
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Deep Label Prior: Pre-Training-Free Salient Object Detection Network
Based on Label Learning,
MultMed(25), 2023, pp. 6067-6078.
IEEE DOI
2311
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Yang, M.[Mo],
Liu, Z.Y.[Zi-Yan],
Dong, W.[Wen],
Wu, Y.[Ying],
SSTNet: Saliency sparse transformers network with tokenized dilation
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IET-IPR(17), No. 13, 2023, pp. 3759-3776.
DOI Link
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feature extraction, image processing, object detection
BibRef
Wang, Z.Y.[Zhen-Yu],
Zhang, Y.Z.[Yun-Zhou],
Liu, Y.[Yan],
Zhu, D.[Delong],
Coleman, S.A.[Sonya A.],
Kerr, D.[Dermot],
ELWNet: An Extremely Lightweight Approach for Real-Time Salient
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Wang, Z.Y.[Zhen-Yu],
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Qin, C.[Cao],
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Kerr, D.[Dermot],
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IEEE DOI
2404
Object detection, Real-time systems, Neurons, Feature extraction,
Visualization, Computational modeling, Performance evaluation,
salient object detection
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Zhou, H.J.[Hua-Jun],
Lin, Y.[Yang],
Yang, L.X.[Ling-Xiao],
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PR(145), 2024, pp. 109951.
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Benchmark, Salient object detection, Loss function, Objectness
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Wan, B.[Bin],
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Zhou, X.F.[Xiao-Fei],
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Zhu, Z.J.[Zun-Jie],
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TMNet: Triple-modal interaction encoder and multi-scale fusion
decoder network for V-D-T salient object detection,
PR(147), 2024, pp. 110074.
Elsevier DOI
2312
V-D-T salient object detection, Triple-modal interaction encoder,
Multi-scale fusion decoder, Triple-modal interaction unit
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Liu, Z.Y.[Zheng-Yi],
He, Q.[Qian],
Wang, L.[Linbo],
Fang, X.Y.[Xian-Yong],
Tang, B.[Bin],
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WWW Link.
2312
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Song, M.K.[Meng-Ke],
Li, L.F.[Lin-Feng],
Wu, D.Q.[Dun-Quan],
Song, W.F.[Wen-Feng],
Chen, C.L.Z.[Cheng-Li-Zhao],
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A Novel Whole-Flow Processing Paradigm,
IP(33), 2024, pp. 338-353.
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WWW Link.
2401
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He, Z.T.[Zhen-Tao],
Shao, F.[Feng],
Chen, G.[Gang],
Chai, X.[Xiongli],
Ho, Y.S.[Yo-Sung],
SCFANet: Semantics and Context Feature Aggregation Network for 360°
Salient Object Detection,
MultMed(26), 2024, pp. 2276-2288.
IEEE DOI
2402
Semantics, Feature extraction, Convolutional neural networks,
Visualization, Task analysis, Fuses, Distortion, transformer
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Wan, B.[Bin],
Zhou, X.F.[Xiao-Fei],
Sun, Y.Q.[Yao-Qi],
Wang, T.Y.[Ting-Yu],
Lv, C.T.[Cheng-Tao],
Wang, S.[Shuai],
Yin, H.B.[Hai-Bing],
Yan, C.G.[Cheng-Gang],
MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object
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MultMed(26), 2024, pp. 2069-2081.
IEEE DOI
2402
Visible, Depth, or Thermal.
Feature extraction, Object detection, Decoding, Optimization, Fuses,
Encoding, Visualization, Multi-modal feature fusion network,
progressive feature enhancement decoder
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Siris, A.[Avishek],
Jiao, J.B.[Jian-Bo],
Tam, G.K.L.[Gary K. L.],
Xie, X.H.[Xiang-Hua],
Lau, R.W.H.[Rynson W. H.],
Inferring Attention Shifts for Salient Instance Ranking,
IJCV(132), No. 3, March 2024, pp. 964-986.
Springer DOI
2402
Code:
WWW Link. large-scale salient object ranking dataset.
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Yun, Y.K.[Yi Ke],
Lin, W.S.[Wei-Si],
Towards a Complete and Detail-Preserved Salient Object Detection,
MultMed(26), 2024, pp. 4667-4680.
IEEE DOI
2403
Transformers, Task analysis, Shape, Feature extraction,
Customer relationship management, Decoding, Context modeling,
transformer
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Xu, B.W.[Bin-Wei],
Liang, H.R.[Hao-Ran],
Liang, R.H.[Rong-Hua],
Chen, P.[Peng],
Synthesize Boundaries: A Boundary-Aware Self-Consistent Framework for
Weakly Supervised Salient Object Detection,
MultMed(26), 2024, pp. 4194-4205.
IEEE DOI
2403
Image edge detection, Annotations, Object recognition, Detectors,
Object detection, Integral equations, Labeling, self-consistent framework
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Zhu, G.[Ge],
Li, J.B.[Jin-Bao],
Guo, Y.[Yahong],
Separate first, then segment: An integrity segmentation network for
salient object detection,
PR(150), 2024, pp. 110328.
Elsevier DOI Code:
WWW Link.
2403
Deep learning, Salient object detection, Integrity segmentation network
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Zhu, G.[Ge],
Li, J.B.[Jin-Bao],
Guo, Y.[Yahong],
PriorNet: Two Deep Prior Cues for Salient Object Detection,
MultMed(26), 2024, pp. 5523-5535.
IEEE DOI
2404
Semantics, Decoding, Feature extraction, Object detection, Skeleton,
Predictive models, Image edge detection, saliency prior
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Qiu, Y.[Yu],
Liu, Y.[Yun],
Zhang, L.[Le],
Lu, H.T.[Hao-Tian],
Xu, J.[Jing],
Boosting Salient Object Detection With Transformer-Based Asymmetric
Bilateral U-Net,
CirSysVideo(34), No. 4, April 2024, pp. 2332-2345.
IEEE DOI Code:
WWW Link.
2404
Transformers, Decoding, Feature extraction, Refining,
Object detection, Convolutional neural networks, asymmetric bilateral U-Net
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Song, X.G.[Xiao-Gang],
Guo, F.Q.[Fu-Qiang],
Zhang, L.[Lei],
Lu, X.F.[Xiao-Feng],
Hei, X.H.[Xin-Hong],
Salient Object Detection With Dual-Branch Stepwise Feature Fusion and
Edge Refinement,
CirSysVideo(34), No. 4, April 2024, pp. 2832-2844.
IEEE DOI Code:
WWW Link.
2404
Feature extraction, Transformers, Task analysis, Semantics,
Image edge detection, Convolutional neural networks, edge enhancement
BibRef
Yan, Y.C.[Yi-Cheng],
Jiang, T.[Tong],
Li, X.F.[Xian-Feng],
Sun, L.P.[Lian-Peng],
Zhu, J.J.[Jin-Jun],
Lin, J.X.[Jian-Xin],
Model-agnostic progressive saliency map generation for object
detector,
IVC(145), 2024, pp. 104988.
Elsevier DOI
2405
Saliency map, Interpretability, Model-agnostic, Black-box, Object detector
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Wu, S.[Shuang],
Zhang, G.J.[Guang-Jian],
Liu, X.F.[Xue-Feng],
SwinSOD: Salient object detection using swin-transformer,
IVC(146), 2024, pp. 105039.
Elsevier DOI Code:
WWW Link.
2405
Salient object detection, Swin-transformer, Poly loss, Feature fusion
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Wang, Y.[Yi],
Wang, R.[Ruili],
He, X.J.[Xiang-Jian],
Lin, C.[Chi],
Wang, T.Z.[Tian-Zhu],
Jia, Q.[Qi],
Fan, X.[Xin],
WBNet: Weakly-supervised salient object detection via scribble and
pseudo-background priors,
PR(154), 2024, pp. 110579.
Elsevier DOI Code:
WWW Link.
2406
Weakly supervision, Salient object detection, Neural networks,
Transformer, Pseudo labels, Scribble labels
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Zhang, H.[Hao],
Liang, H.R.[Hao-Ran],
Zhao, X.[Xing],
Liu, J.[Jian],
Liang, R.H.[Rong-Hua],
Salient object detection in egocentric videos,
IET-IPR(18), No. 8, 2024, pp. 2028-2037.
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WWW Link.
2406
image processing, object detection
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Zhai, H.X.[Han-Xiao],
Chen, Z.X.[Zhen-Xue],
Liu, C.Y.[Cheng-Yun],
Bai, H.[Huibin],
Wu, Q.M.J.[Q.M. Jonathan],
Category-based depth incorporation for salient object ranking,
JVCIR(101), 2024, pp. 104165.
Elsevier DOI
2406
Salient object ranking, Category awareness,
Depth incorporation, Human psychology
BibRef
Chen, J.[Jun],
Zhang, H.[Heye],
Gong, M.M.[Ming-Ming],
Gao, Z.[Zhifan],
Collaborative compensative transformer network for salient object
detection,
PR(154), 2024, pp. 110600.
Elsevier DOI
2406
Salient object detection, Collaborative relation transformer,
Collaborative embedding
BibRef
Yang, X.Q.[Xiao-Qi],
Duan, L.L.[Liang-Liang],
Zhou, Q.Q.[Quan-Qiang],
PileNet: A high-and-low pass complementary filter with multi-level
feature refinement for salient object detection,
JVCIR(102), 2024, pp. 104186.
Elsevier DOI
2407
Salient object detection, Complementary filter,
Feature refinement, Feature aggregation
BibRef
Huang, X.Y.[Xiao-Yu],
Liu, W.[Wei],
Li, M.H.[Ming-Hui],
Nie, H.[Hangyu],
Cross-scale resolution consistent network for salient object
detection,
IET-IPR(18), No. 10, 2024, pp. 2788-2799.
DOI Link
2408
image processing, image resolution
BibRef
Qiao, M.L.[Ming-Lang],
Xu, M.[Mai],
Jiang, L.[Lai],
Lei, P.[Peng],
Wen, S.J.[Shi-Jie],
Chen, Y.J.[Yun-Jin],
Sigal, L.[Leonid],
HyperSOR: Context-Aware Graph Hypernetwork for Salient Object Ranking,
PAMI(46), No. 9, September 2024, pp. 5873-5889.
IEEE DOI
2408
Visualization, Semantics, Task analysis, Image segmentation,
Context modeling, Annotations, Predictive models,
salient object ranking
BibRef
Li, J.[Jian],
Li, C.K.[Chuan-Kun],
Zheng, X.[Xiao],
Liu, X.W.[Xin-Wang],
Tang, C.[Chang],
Global Context Relation-Guided Feature Aggregation Network for
Salient Object Detection in Optical Remote Sensing Images,
RS(16), No. 16, 2024, pp. 2978.
DOI Link
2408
BibRef
Wang, K.P.[Kun-Peng],
Tu, Z.Z.[Zheng-Zheng],
Li, C.L.[Cheng-Long],
Zhang, C.[Cheng],
Luo, B.[Bin],
Learning Adaptive Fusion Bank for Multi-Modal Salient Object
Detection,
CirSysVideo(34), No. 8, August 2024, pp. 7344-7358.
IEEE DOI
2408
Feature extraction, Lighting, Object detection, Clutter,
Circuits and systems, Semantics, Data mining,
indirect interactive guidance
BibRef
Zheng, X.[Xin],
Wang, B.Y.[Bo-Yang],
Liu, D.Y.[De-Yang],
Lv, C.T.[Cheng-Tao],
Yan, J.B.[Jie-Bin],
An, P.[Ping],
A foreground-context dual-guided network for light-field salient
object detection,
SP:IC(128), 2024, pp. 117165.
Elsevier DOI
2409
Light-field, Salient object detection, Deep learning,
Information fusion, Dual-guided network
BibRef
Wang, J.[Jie],
Zhang, Z.[Zihao],
Yu, N.[Nana],
Han, Y.[Yahong],
Progressive expansion for semi-supervised bi-modal salient object
detection,
PR(157), 2025, pp. 110868.
Elsevier DOI
2409
Bi-modal salient object detection, Cross-model fusion, Semi-supervised learning
BibRef
Zhu, J.Y.[Jia-Yi],
Qin, X.B.[Xue-Bin],
Elsaddik, A.[Abdulmotaleb],
DC-Net: Divide-and-conquer for salient object detection,
PR(157), 2025, pp. 110903.
Elsevier DOI Code:
WWW Link.
2409
Saliency detection, Salient object detection
BibRef
Li, G.B.[Guan-Bin],
Chen, Z.[Zhuohua],
Mao, M.Z.[Ming-Zhi],
Lin, L.[Liang],
Fang, C.W.[Chao-Wei],
Uncertainty-Aware Active Domain Adaptive Salient Object Detection,
IP(33), 2024, pp. 5510-5524.
IEEE DOI Code:
WWW Link.
2410
Annotations, Object detection, Adaptation models, Uncertainty, Training,
Synthetic data, Labeling, Salient object detection, active learning
BibRef
Huang, N.C.[Nian-Chang],
Yang, Y.[Yang],
Xi, R.[Ruida],
Zhang, Q.[Qiang],
Han, J.G.[Jun-Gong],
Huang, J.[Jin],
Salient Object Detection From Arbitrary Modalities,
IP(33), 2024, pp. 6268-6282.
IEEE DOI Code:
WWW Link.
2411
Feature extraction, Cameras, Switches, Object detection,
Heuristic algorithms, Fuses, Adaptation models, Thermal sensors, dataset
BibRef
Li, J.B.[Jian-Bao],
Pan, C.[Chen],
Zheng, Y.L.[Yi-Lin],
Zhang, D.P.[Dong-Ping],
Progressive cross-level fusion network for RGB-D salient object
detection,
JVCIR(104), 2024, pp. 104268.
Elsevier DOI
2411
Salient object detection, Progressive cross-level fusion,
Self-modality attention refinement, Multi-scale spaces
BibRef
Qiu, Y.[Yu],
Sun, Y.H.[Yu-Hang],
Mei, J.[Jie],
Xu, J.[Jing],
Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for
Salient Object Detection in Optical Remote Sensing Images,
MultMed(26), 2024, pp. 10892-10907.
IEEE DOI
2411
Feature extraction, Semantics, Visualization, Training,
Task analysis, Remote sensing, Image edge detection, hard edge contrast
BibRef
Zhou, X.F.[Xiao-Fei],
Shen, K.[Kunye],
Liu, Z.[Zhi],
ADMNet: Attention-Guided Densely Multi-Scale Network for Lightweight
Salient Object Detection,
MultMed(26), 2024, pp. 10828-10841.
IEEE DOI
2411
Object detection, Feature extraction, Decoding, Computational modeling,
Task analysis, Saliency detection, spatial attention
BibRef
Barcelos, I.B.[Isabela Borlido],
de Melo-João, L.[Leonardo],
Patrocínio Jr., Z.K.G.[Zenilton K. G.],
Kijak, E.[Ewa],
Falcão, A.X.[Alexandre X.],
Guimarães, S.J.F.[Silvio J. F.],
Graph-based Feature Learning from Image Markers,
CIARP23(I:494-509).
Springer DOI Code:
WWW Link.
2312
BibRef
Lee, Y.[Yongwoo],
Lee, M.[Minhyeok],
Cho, S.[Suhwan],
Lee, S.Y.[Sang-Youn],
Adaptive Graph Convolution Module for Salient Object Detection,
ICIP23(1395-1399)
IEEE DOI
2312
BibRef
Deng, B.[Bowen],
French, A.P.[Andrew P.],
Pound, M.P.[Michael P.],
Addressing multiple salient object detection via dual-space
long-range dependencies,
CVIU(235), 2023, pp. 103776.
Elsevier DOI
2310
Salient object detection, Attention,
Dual-space long-range dependencies, Non-local neural networks
BibRef
Gwon, C.[Chul],
Howell, S.C.[Steven C.],
ODSmoothGrad: Generating Saliency Maps for Object Detectors,
XAI4CV23(3686-3690)
IEEE DOI
2309
BibRef
Wang, Y.[Yi],
Wang, R.[Ruili],
Fan, X.[Xin],
Wang, T.Z.[Tian-Zhu],
He, X.J.[Xiang-Jian],
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object
Detection,
CVPR23(10031-10040)
IEEE DOI
2309
BibRef
Bhunia, A.K.[Ayan Kumar],
Koley, S.[Subhadeep],
Kumar, A.[Amandeep],
Sain, A.[Aneeshan],
Chowdhury, P.N.[Pinaki Nath],
Xiang, T.[Tao],
Song, Y.Z.[Yi-Zhe],
Sketch2Saliency: Learning to Detect Salient Objects from Human
Drawings,
CVPR23(2733-2743)
IEEE DOI
2309
BibRef
Kim, T.[Taehun],
Kim, K.[Kunhee],
Lee, J.[Joonyeong],
Cha, D.M.[Dong-Min],
Lee, J.[Jiho],
Kim, D.J.[Dai-Jin],
Revisiting Image Pyramid Structure for High Resolution Salient Object
Detection,
ACCV22(VII:257-273).
Springer DOI
2307
BibRef
Tian, X.Y.[Xin-Yu],
Zhang, J.[Jing],
Dai, Y.C.[Yu-Chao],
A General Divergence Modeling Strategy for Salient Object Detection,
ACCV22(VII:291-309).
Springer DOI
2307
BibRef
Liu, Y.L.[Yun-Long],
Yoshie, O.[Osamu],
Watanabe, H.[Hiroshi],
Application of Multi-modal Fusion Attention Mechanism in Semantic
Segmentation,
ACCV22(VII:378-397).
Springer DOI
2307
BibRef
Yan, Z.Q.[Zhi-Qi],
Liang, S.[Shuang],
Benet: Boundary Enhance Network for Salient Object Detection,
MMMod23(II: 228-239).
Springer DOI
2304
BibRef
Zhang, Y.[Yi],
Hamidouche, W.[Wassim],
Deforges, O.[Olivier],
Channel-Spatial Mutual Attention Network for 360° Salient Object
Detection,
ICPR22(3436-3442)
IEEE DOI
2212
Deep learning, Visualization, Image segmentation, Fuses,
Object detection, Benchmark testing, Robustness
BibRef
Sun, Y.G.[Yan-Guang],
Xia, C.X.[Chen-Xing],
Gao, X.J.[Xiu-Ju],
Ge, B.[Bin],
Zhang, H.L.[Han-Ling],
Li, K.C.[Kuan-Ching],
Emcenet: Efficient Multi-Scale Context Exploration Network for
Salient Object Detection,
ICIP22(1066-1070)
IEEE DOI
2211
Measurement, Adaptation models, Correlation, Fuses, Convolution,
Object detection, Feature extraction, Deep learning,
salient object detection
BibRef
Park, C.[Chaewon],
Lee, M.[Minhyeok],
Cho, M.[MyeongAh],
Lee, S.Y.[Sang-Youn],
Saliency Detection via Global Context Enhanced Feature Fusion and
Edge Weighted Loss,
ICIP22(811-815)
IEEE DOI
2211
Image edge detection, Computational modeling, Object detection,
Benchmark testing, Feature extraction, Decoding, weighted loss
BibRef
Zhang, W.[Wenhu],
Zheng, L.L.[Liang-Li],
Wang, H.Y.[Huan-Yu],
Wu, X.T.[Xin-Tian],
Li, X.[Xi],
Saliency Hierarchy Modeling via Generative Kernels for Salient Object
Detection,
ECCV22(XXVIII:570-587).
Springer DOI
2211
BibRef
Liu, N.[Nian],
Zhang, N.[Ni],
Wan, K.Y.[Kai-Yuan],
Shao, L.[Ling],
Han, J.W.[Jun-Wei],
Visual Saliency Transformer,
ICCV21(4702-4712)
IEEE DOI
2203
Convolutional codes, Visualization, Fuses, Object detection,
Predictive models, Transformers, Multitasking,
Scene analysis and understanding
BibRef
Gu, Y.C.[Yu-Chao],
Gao, S.H.[Shang-Hua],
Cao, X.S.[Xu-Sheng],
Du, P.[Peng],
Lu, S.P.[Shao-Ping],
Cheng, M.M.[Ming-Ming],
iNAS: Integral NAS for Device-Aware Salient Object Detection,
ICCV21(4914-4924)
IEEE DOI
2203
Performance evaluation, Codes, Object detection,
Computer architecture, Search problems, Feature extraction,
BibRef
Siris, A.[Avishek],
Jiao, J.B.[Jian-Bo],
Tam, G.K.L.[Gary K.L.],
Xie, X.H.[Xiang-Hua],
Lau, R.W.H.[Rynson W.H.],
Scene Context-Aware Salient Object Detection,
ICCV21(4136-4146)
IEEE DOI
2203
Visualization, Computational modeling, Semantics, Object detection,
Transformers, Cognition, Low-level and physics-based vision,
grouping and shape
BibRef
Fang, H.[Hao],
Zhang, D.X.[Dao-Xin],
Zhang, Y.[Yi],
Chen, M.H.[Ming-Hao],
Li, J.W.[Jia-Wei],
Hu, Y.[Yao],
Cai, D.[Deng],
He, X.F.[Xiao-Fei],
Salient Object Ranking with Position-Preserved Attention,
ICCV21(16311-16321)
IEEE DOI
2203
Image segmentation, Visualization, Limiting, Fuses, Semantics,
Object detection, Scene analysis and understanding,
Detection and localization in 2D and 3D
BibRef
Ke, Y.Y.[Yun Yi],
Tsubono, T.[Takahiro],
Recursive Contour-Saliency Blending Network for Accurate Salient
Object Detection,
WACV22(1360-1370)
IEEE DOI
2202
Training, Image edge detection,
Computational modeling, Object detection, Predictive models, Grouping and Shape
BibRef
Sawada, T.[Tomoya],
Lee, T.Y.[Teng-Yok],
Mizuno, M.[Masahiro],
Bottom-Up Saliency Meets Top-Down Semantics for Object Detection,
ICIP21(729-733)
IEEE DOI
2201
Convolution, Semantics, Neural networks, Object detection, Detectors,
Feature extraction
BibRef
Ahmadzadeh, A.[Azim],
Kempton, D.J.[Dustin J.],
Chen, Y.[Yang],
Angryk, R.A.[Rafal A.],
Multiscale IOU: A Metric for Evaluation of Salient Object Detection
with Fine Structures,
ICIP21(684-688)
IEEE DOI
2201
Measurement, Sensitivity, Image processing, Object detection,
Fractals, object-detection, metric, iou, segmentation, evaluation
BibRef
Sharma, A.[Angira],
Khan, N.[Naeemullah],
Mubashar, M.[Muhammad],
Sundaramoorthi, G.[Ganesh],
Torr, P.H.S.[Philip H.S.],
Class-Agnostic Segmentation Loss and Its Application to Salient
Object Detection and Segmentation,
ILDAV21(1621-1630)
IEEE DOI
2112
Training, Measurement, Learning systems, Training data,
Object detection, Object segmentation, Performance gain
BibRef
Wang, S.Z.[Shen-Zhi],
Wu, L.W.[Li-Wei],
Cui, L.[Lei],
Shen, Y.J.[Yu-Jun],
Glancing at the Patch:
Anomaly Localization with Global and Local Feature Comparison,
CVPR21(254-263)
IEEE DOI
2111
Location awareness, Image segmentation, Head,
Feature extraction, Distortion
BibRef
Zhang, Z.[Zhe],
Ma, J.H.[Jun-Hui],
Xu, P.P.[Pan-Pan],
Wang, W.C.[Wen-Cheng],
Dense Attention-Guided Network for Boundary-Aware Salient Object
Detection,
MMMod21(I:148-161).
Springer DOI
2106
BibRef
Kang, D.G.[Dong-Goo],
Park, S.[Sangwoo],
Paik, J.[Joonki],
Coarse to Fine: Progressive and Multi-Task Learning for Salient
Object Detection,
ICPR21(1491-1498)
IEEE DOI
2105
Convolution, Object detection, Network architecture, Decoding,
Task analysis
BibRef
Yan, S.[Senbo],
Song, X.W.[Xiao-Wen],
Yu, C.[Chuer],
Sdcnet: Size Divide and Conquer Network for Salient Object Detection,
ACCV20(I:637-653).
Springer DOI
2103
BibRef
Tan, J.[Jing],
Xiong, P.F.[Peng-Fei],
Lv, Z.Y.[Zheng-Yi],
Xiao, K.T.[Kun-Tao],
He, Y.[Yuwen],
Local Context Attention for Salient Object Segmentation,
ACCV20(I:706-722).
Springer DOI
2103
BibRef
Tang, L.[Lv],
Li, B.[Bo],
Class: Cross-level Attention and Supervision for Salient Objects
Detection,
ACCV20(III:420-436).
Springer DOI
2103
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
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
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.B.[Qi-Bin],
Cheng, M.M.[Ming-Ming],
Feng, J.S.[Jia-Shi],
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
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
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.B.[Qi-Bin],
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
Feature extraction, Object detection, Proposals,
Task analysis, Testing, Training, CNN, Context, Faster R-CNN,
Pooling
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
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
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.J.[Bao-Jiang],
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.Y.[Bao-Yu],
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.L.[Zi-Lei],
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
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.X.[Zhi-Xun],
Object level image saliency by hierarchical segmentation,
ICIP13(1772-1776)
IEEE DOI
1402
Object level image saliency
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.S.[Han-Sang],
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
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
Weakly Supervised, Unsupervised Salient Regions .