7.1.11.1 Salient Regions, Saliencey for Regions

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.
WWW Link. 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.
WWW Link. 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,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Ghariba, B.[Bashir], Shehata, M.S.[Mohamed S.], McGuire, P.[Peter],
Salient object detection using semantic segmentation technique,
IJCVR(12), No. 1, 2022, pp. 17-38.
DOI Link 2112
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Zhang, Q.[Qing], Zhang, L.Q.[Li-Qian], Wang, D.[Dong], Shi, Y.J.[Yan-Jiao], Lin, J.J.[Jia-Jun],
Global and local information aggregation network for edge-aware salient object detection,
JVCIR(81), 2021, pp. 103350.
Elsevier DOI 2112
Salient object detection, Saliency, Multi-level feature aggregation, Attention, Salient edge BibRef

Zhang, L.Q.[Li-Qian], Zhang, Q.[Qing],
Salient Object Detection With Edge-Guided Learning and Specific Aggregation,
CirSysVideo(34), No. 1, January 2024, pp. 534-548.
IEEE DOI 2401
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Li, H.F.[Hao-Feng], Li, G.B.[Guan-Bin], Yang, B.B.[Bin-Bin], Chen, G.Q.[Guan-Qi], Lin, L.[Liang], Yu, Y.Z.[Yi-Zhou],
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread,
Cyber(51), No. 12, December 2021, pp. 6188-6199.
IEEE DOI 2112
Convolution, Object detection, Correlation, Neural networks, Image segmentation, Inference algorithms, Instruction sets, salient object detection BibRef

Wu, Z.Y.[Zhen-Yu], Li, S.[Shuai], Chen, C.I.[Chengl-Izhao], Hao, A.[Aimin], Qin, H.[Hong],
Deeper Look at Image Salient Object Detection: Bi-Stream Network With a Small Training Dataset,
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 BibRef

Mei, H.Y.[Hai-Yang], Liu, Y.Y.[Yuan-Yuan], Wei, Z.Q.[Zi-Qi], Zhou, D.S.[Dong-Sheng], Wei, X.P.[Xiao-Peng], Zhang, Q.[Qiang], Yang, X.[Xin],
Exploring Dense Context for Salient Object Detection,
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 BibRef

Bhuyan, S.[Sudipta], Sen, D.[Debashis], Deb, S.[Sankha],
Structure-aware multiple salient region detection and localization for autonomous robotic manipulation,
IET-IPR(16), No. 4, 2022, pp. 1135-1161.
DOI Link 2203
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Wang, W.G.[Wen-Guan], Lai, Q.X.[Qiu-Xia], Fu, H.Z.[Hua-Zhu], Shen, J.B.[Jian-Bing], Ling, H.B.[Hai-Bin], Yang, R.G.[Rui-Gang],
Salient Object Detection in the Deep Learning Era: An In-Depth Survey,
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 BibRef

Wu, Q.[Qin], Wang, J.Z.[Jian-Zhe], Chai, Z.[Zhilei], Guo, G.D.[Guo-Dong],
Multi-scale feature aggregation and boundary awareness network for salient object detection,
IVC(122), 2022, pp. 104442.
Elsevier DOI 2205
Deep learning, Salient object detection, Feature aggregation, Complex boundary BibRef

Liu, Y.[Yun], Cheng, M.M.[Ming-Ming], Zhang, X.Y.[Xin-Yu], Nie, G.Y.[Guang-Yu], Wang, M.[Meng],
DNA: Deeply Supervised Nonlinear Aggregation for Salient Object Detection,
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 BibRef

Zhang, J.[Jin], Liang, Q.W.[Qiu-Wei], Shi, Y.J.[Yan-Jiao],
Accurate and efficient salient object detection via position prior attention,
IVC(124), 2022, pp. 104508.
Elsevier DOI 2208
Deep learning, Salient object detection, Position prior, Feature fusion BibRef

Yan, X.Y.[Xin-Yu], Sun, M.[Meijun], Han, Y.[Yahong], Wang, Z.[Zheng], Tian, Q.[Qi],
Effective full-scale detection for salient object based on condensing-and-filtering network,
PR(131), 2022, pp. 108904.
Elsevier DOI 2208
Salient object detection, Neural networks, Full-scale feature extraction, Multi-level feature fusion BibRef

Yao, Z.J.[Zhao-Jian], Wang, L.P.[Lu-Ping],
Boundary Information Progressive Guidance Network for Salient Object Detection,
MultMed(24), 2022, pp. 4236-4249.
IEEE DOI 2209
Measurement, Codes, Semantics, Object detection, Benchmark testing, Feature extraction, Saliency detection, Salient object detection, boundary information guidance BibRef

Wang, Z.[Zheng], Wang, P.Z.[Peng-Zhi], Han, Y.[Yahong], Zhang, X.[Xue], Sun, M.[Meijun], Tian, Q.[Qi],
Curiosity-Driven Salient Object Detection With Fragment Attention,
IP(31), 2022, pp. 5989-6001.
IEEE DOI 2209
Feature extraction, Object detection, Visualization, Semantics, Task analysis, Saliency detection, Cognition, curiosity-driven learning BibRef

Cheng, M.M.[Ming-Ming], Gao, S.H.[Shang-Hua], Borji, A.[Ali], Tan, Y.Q.[Yong-Qiang], Lin, Z.[Zheng], Wang, M.[Meng],
A Highly Efficient Model to Study the Semantics of Salient Object Detection,
PAMI(44), No. 11, November 2022, pp. 8006-8021.
IEEE DOI 2210
Semantics, Task analysis, Feature extraction, Computational modeling, Analytical models, Object detection, semantics BibRef

Gao, S.H.[Shang-Hua], Tan, Y.Q.[Yong-Qiang], 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
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Zhang, C.H.[Chen-Hao], Gao, S.S.[Shan-Shan], Mao, D.Q.[De-Qian], Zhou, Y.F.[Yuan-Feng],
DHNet: Salient Object Detection With Dynamic Scale-Aware Learning and Hard-Sample Refinement,
CirSysVideo(32), No. 11, November 2022, pp. 7772-7782.
IEEE DOI 2211
Routing, Feature extraction, DSL, Task analysis, Logic gates, Semantics, Object detection, Salient object detection, hard sample mining BibRef

Wu, Z.Y.[Zhen-Yu], Li, S.[Shuai], Chen, C.I.[Chengl-Izhao], Qin, H.[Hong], Hao, A.[Aimin],
Salient Object Detection via Dynamic Scale Routing,
IP(31), 2022, pp. 6649-6663.
IEEE DOI 2211
Kernel, Decoding, Feature extraction, Routing, Deep learning, Object detection, Technological innovation, salient object detection BibRef

Liu, Y.[Yi], Zhang, D.W.[Ding-Wen], Liu, N.[Nian], Xu, S.[Shoukun], Han, J.G.[Jun-Gong],
Disentangled Capsule Routing for Fast Part-Object Relational Saliency,
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 BibRef

Song, Y.[Yue], Tang, H.[Hao], Zhao, M.[Mengyi], Sebe, N.[Nicu], Wang, W.[Wei],
Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection,
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 BibRef

Li, Z.[Zun], Lang, C.[Congyan], Liang, L.Q.[Li-Qian], Zhao, J.[Jian], Feng, S.[Songhe], Hou, Q.[Qibin], Feng, J.S.[Jia-Shi],
Dense Attentive Feature Enhancement for Salient Object Detection,
CirSysVideo(32), No. 12, December 2022, pp. 8128-8141.
IEEE DOI 2212
Feature extraction, Object detection, Visualization, Semantics, Saliency detection, Convolution, Stacking, dense attentive feature enhancement BibRef

Liu, J.J.[Jiang-Jiang], Hou, Q.[Qibin], Liu, Z.A.[Zhi-Ang], Cheng, M.M.[Ming-Ming],
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection,
PAMI(45), No. 1, January 2023, pp. 887-904.
IEEE DOI 2212
Feature extraction, Object detection, Task analysis, Semantics, Image edge detection, Image segmentation, mobile application BibRef

Fan, D.P.[Deng-Ping], Zhang, J.[Jing], Xu, G.[Gang], Cheng, M.M.[Ming-Ming], Shao, L.[Ling],
Salient Objects in Clutter,
PAMI(45), No. 2, February 2023, pp. 2344-2366.
IEEE DOI 2301
Dogs, Portable computers, Computers, Bicycles, Glass, Benchmark testing, Adaptation models, Salient object detection BibRef

Wang, X.Z.[Xing-Zheng], Chen, S.W.[Song-Wei], Wei, G.Y.[Guo-Yao], Liu, J.[Jiehao],
TENet: Accurate light-field salient object detection with a transformer embedding network,
IVC(129), 2023, pp. 104595.
Elsevier DOI 2301
Light-field, Salient object detection, Transformer BibRef

Lv, C.T.[Cheng-Tao], Zhou, X.F.[Xiao-Fei], Zhu, B.[Bin], Liu, D.[Deyang], Zheng, B.[Bolun], Zhang, J.Y.[Ji-Yong], Yan, C.G.[Cheng-Gang],
SRI-Net: Similarity retrieval-based inference network for light field salient object detection,
JVCIR(90), 2023, pp. 103721.
Elsevier DOI 2301
Light field, Focal slice retrieval, Similarity retrieval, Salient object detection BibRef

Han, Y.[Yibo], Wang, L.J.[Lie-Jun], Cheng, S.[Shuli], Li, Y.M.[Yong-Ming], Du, A.[Anyu],
Residual dense collaborative network for salient object detection,
IET-IPR(17), No. 2, 2023, pp. 492-504.
DOI Link 2302
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Shi, Y.[Yadi], Qin, G.[Guihe], Liang, Y.H.[Yan-Hua], Wang, X.C.[Xin-Chao], Yan, J.[Jie], Zhang, Z.[Zhonghan],
Salient object detection based on edge-interior feature fusion,
IET-IPR(17), No. 2, 2023, pp. 337-348.
DOI Link 2302
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Ma, M.C.[Ming-Can], Xia, C.Q.[Chang-Qun], Xie, C.X.[Chen-Xi], Chen, X.W.[Xiao-Wu], Li, J.[Jia],
Boosting Broader Receptive Fields for Salient Object Detection,
IP(32), 2023, pp. 1026-1038.
IEEE DOI 2302
Feature extraction, Semantics, Transformers, Object detection, Decoding, Boosting, Switches, Salient object detection, loop compensation BibRef

Zhuge, M.C.[Ming-Chen], Fan, D.P.[Deng-Ping], Liu, N.[Nian], Zhang, D.W.[Ding-Wen], Xu, D.[Dong], Shao, L.[Ling],
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 BibRef

Lin, Q.H.[Qi-Hui], Xia, L.[Lurui], Li, S.[Sen], Chen, W.F.[Wan-Feng],
Two-stage local attention network for salient object detection in remote sensing images,
IET-IPR(17), No. 3, 2023, pp. 849-861.
DOI Link 2303
cascade decoder, loss function, salient object detection, window self-attention BibRef

Qiu, Y.[Yu], Liu, Y.[Yun], Chen, Y.[Yanan], Zhang, J.W.[Jian-Wen], Zhu, J.C.[Jin-Chao], Xu, J.[Jing],
A2SPPNet: Attentive Atrous Spatial Pyramid Pooling Network for Salient Object Detection,
MultMed(25), 2023, pp. 1991-2006.
IEEE DOI 2306
Feature extraction, Semantics, Decoding, Object detection, Noise measurement, Salient object detection, saliency detection, attention mechanism BibRef

Jiao, S.[Siyu], Goel, V.[Vidit], Navasardyan, S.[Shant], Yang, Z.X.[Zong-Xin], Khachatryan, L.[Levon], Yang, Y.[Yi], Wei, Y.C.[Yun-Chao], Zhao, Y.[Yao], Shi, H.[Humphrey],
Collaborative Content-Dependent Modeling: A Return to the Roots of Salient Object Detection,
IP(32), 2023, pp. 4237-4246.
IEEE DOI 2308
Convolution, Task analysis, Head, Feature extraction, Decoding, Transformers, Object detection, Salient object detection, content-dependent modeling BibRef

Li, G.[Guofa], Qian, X.[Xuanhu], Qu, X.D.[Xing-Da],
SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object Segmentation Mask,
ITS(24), No. 9, September 2023, pp. 10118-10137.
IEEE DOI 2310
BibRef

He, J.[Junkang], Zhao, L.[Lin], Hu, W.J.[Wen-Jing], Zhang, G.[Guoyun], Wu, J.H.[Jian-Hui], Li, X.P.[Xin-Ping],
TCM-Net: Mixed Global-Local Learning for Salient Object Detection in Optical Remote Sensing Images,
RS(15), No. 20, 2023, pp. 4977.
DOI Link 2310
BibRef

Ren, S.[Sucheng], Liu, W.X.[Wen-Xi], Jiao, J.B.[Jian-Bo], Han, G.Q.[Guo-Qiang], He, S.F.[Sheng-Feng],
Edge Distraction-aware Salient Object Detection,
MultMedMag(30), No. 3, July 2023, pp. 63-73.
IEEE DOI 2310
BibRef

Li, J.[Jia], Qiao, S.Y.[Sheng-Ye], Zhao, Z.R.[Zhi-Rui], Xie, C.X.[Chen-Xi], Chen, X.W.[Xiao-Wu], Xia, C.Q.[Chang-Qun],
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff,
IP(32), 2023, pp. 5664-5677.
IEEE DOI 2310
BibRef

Zhu, J.C.[Jin-Chao], Zhang, X.Y.[Xiao-Yu], Fang, X.[Xian], Wang, Y.X.[Yu-Xuan], Tan, P.[Panlong], Liu, J.[Junnan],
Perception-and-Regulation Network for Salient Object Detection,
MultMed(25), 2023, pp. 6525-6537.
IEEE DOI 2311
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Wu, J.J.[Jun-Jie], Xia, C.[Changqun], Yu, T.S.[Tian-Shu], Li, J.[Jia],
View-Aware Salient Object Detection for 360° Omnidirectional Image,
MultMed(25), 2023, pp. 6471-6484.
IEEE DOI 2311
BibRef

Yue, H.H.[Hui-Hui], Guo, J.[Jichang], Yin, X.J.[Xiang-Jun], Zhang, Y.[Yi], Zheng, S.[Sida],
Deep Label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning,
MultMed(25), 2023, pp. 6067-6078.
IEEE DOI 2311
BibRef

Yang, M.[Mo], Liu, Z.Y.[Zi-Yan], Dong, W.[Wen], Wu, Y.[Ying],
SSTNet: Saliency sparse transformers network with tokenized dilation for salient object detection,
IET-IPR(17), No. 13, 2023, pp. 3759-3776.
DOI Link 2311
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 Object Detection,
CirSysVideo(33), No. 11, November 2023, pp. 6404-6417.
IEEE DOI 2311
BibRef

Wang, Z.Y.[Zhen-Yu], Zhang, Y.Z.[Yun-Zhou], Liu, Y.[Yan], Qin, C.[Cao], Coleman, S.A.[Sonya A.], Kerr, D.[Dermot],
LARNet: Towards Lightweight, Accurate and Real-Time Salient Object Detection,
MultMed(26), 2024, pp. 5207-5222.
IEEE DOI 2404
Object detection, Real-time systems, Neurons, Feature extraction, Visualization, Computational modeling, Performance evaluation, salient object detection BibRef

Zhou, H.J.[Hua-Jun], Lin, Y.[Yang], Yang, L.X.[Ling-Xiao], Lai, J.H.[Jian-Huang], Xie, X.H.[Xiao-Hua],
Benchmarking deep models on salient object detection,
PR(145), 2024, pp. 109951.
Elsevier DOI Code:
WWW Link. 2311
Benchmark, Salient object detection, Loss function, Objectness BibRef

Wan, B.[Bin], lv, C.T.[Cheng-Tao], Zhou, X.F.[Xiao-Fei], Sun, Y.Q.[Yao-Qi], Zhu, Z.J.[Zun-Jie], Wang, H.K.[Hong-Kui], Yan, C.G.[Cheng-Gang],
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 BibRef

Liu, Z.Y.[Zheng-Yi], He, Q.[Qian], Wang, L.[Linbo], Fang, X.Y.[Xian-Yong], Tang, B.[Bin],
LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor,
CirSysVideo(33), No. 12, December 2023, pp. 7764-7773.
IEEE DOI Code:
WWW Link. 2312
BibRef

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],
Rethinking Object Saliency Ranking: A Novel Whole-Flow Processing Paradigm,
IP(33), 2024, pp. 338-353.
IEEE DOI Code:
WWW Link. 2401
BibRef

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 BibRef

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 Detection,
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 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.],
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. BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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 BibRef

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.
DOI Link Code:
WWW Link. 2406
image processing, object detection BibRef

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

Reynolds, J.[Jarek], Nagesh, C.K.[Chandra Kanth], Gurari, D.[Danna],
Salient Object Detection for Images Taken by People With Vision Impairments,
WACV24(8507-8516)
IEEE DOI Code:
WWW Link. 2404
Image quality, Grounding, Visual impairment, Object detection, Benchmark testing, Complexity theory, Applications, Social good 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
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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
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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
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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
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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
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Yan, Z.[Zhiqi], Liang, S.[Shuang],
Benet: Boundary Enhance Network for Salient Object Detection,
MMMod23(II: 228-239).
Springer DOI 2304
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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, Pattern recognition 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
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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
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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
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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
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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
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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
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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
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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.
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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
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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
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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
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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
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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
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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
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Xiang, D.[Dao], Wang, Z.[Zilei],
Salient Object Detection via Saliency Spread,
AutoSystems14(457-472).
Springer DOI 1504
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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
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Kinnunen, T.[Teemu], Laine-Hernandez, M.[Mari], Oittinen, P.[Pirkko],
Evaluating Local Feature Detectors in Salient Region Detection,
SCIA13(85-94).
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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
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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
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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).
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Cheung, Y.M.[Yiu-Ming], Peng, Q.[Qinmu],
Salient region detection using local and global saliency,
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ICIP14(4294-4298)
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ICIP12(1073-1076).
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Sun, J.[Jing], Lu, H.C.[Hu-Chuan], Li, S.F.[Shi-Feng],
Saliency detection based on integration of boundary and soft-segmentation,
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Tang, H.[Hao],
Object-aware saliency detection for consumer images,
ICIP12(1097-1100).
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Shen, X.H.[Xiao-Hui], Wu, Y.[Ying],
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Feng, J.[Jie], Wei, Y.C.[Yi-Chen], Tao, L.T.[Li-Tian], Zhang, C.[Chao], Sun, J.[Jian],
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ICCV11(1028-1035).
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Klein, D.A.[Dominik A.], Frintrop, S.[Simone],
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ICCV11(2214-2219).
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Katramados, I.[Ioannis], Breckon, T.P.[Toby P.],
Real-time visual saliency by Division of Gaussians,
ICIP11(1701-1704).
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Saber, Y.[Yusuf], Kyan, M.[Matthew],
High resolution biologically inspired salient region detection,
ICIP11(649-652).
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Xie, Y.L.[Yu-Lin], Lu, H.C.[Hu-Chuan],
Visual saliency detection based on Bayesian model,
ICIP11(645-648).
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Jiang, H.Z.[Huai-Zu], Wang, J.D.[Jing-Dong], Yuan, Z.J.[Ze-Jian], Liu, T.[Tie], Zheng, N.N.[Nan-Ning],
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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).
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Duan, L.J.[Li-Juan], Wu, C.P.[Chun-Peng], Miao, J.[Jun], Qing, L.Y.[Lai-Yun], Fu, Y.[Yu],
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CVPR11(473-480).
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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).
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Dong, M.[Ming], Chen, Y.H.[Yan-Hua],
Salient region detection and feature extraction in 3D visual data,
ICIP08(185-188).
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Weakly Supervised, Unsupervised Salient Regions .

Last update:Sep 28, 2024 at 17:47:54