7.1.10.1 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

Li, Y.[Ying], Cui, F.[Fan], Xue, X.[Xizhe], Chan, J.C.W.[Jonathan Cheung-Wai],
Coarse-to-fine salient object detection based on deep convolutional neural networks,
SP:IC(64), 2018, pp. 21-32.
Elsevier DOI 1804
Saliency detection, Convolutional neural network, Fully convolutional neural network BibRef

Wang, B.Y.[Bao-Yan], Zhang, T.[Tie], Wang, X.G.[Xin-Gang],
Salient object detection based on Laplacian similarity metrics,
VC(34), No. 5, May 2018, pp. 645-658.
WWW Link. 1804
BibRef

Quan, R., Han, J., Zhang, D., Nie, F., Qian, X., Li, X.,
Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models,
MultMed(20), No. 5, May 2018, pp. 1101-1112.
IEEE DOI 1805
Analytical models, Computational complexity, Computational modeling, Fuses, Labeling, Object detection, weak prediction BibRef

Zhang, Y.J.[Yong-Jun], Wang, X.[Xiang], Xie, X.W.[Xun-Wei], Li, Y.S.[Yan-Sheng],
Salient Object Detection via Recursive Sparse Representation,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
The foreground object. BibRef

Zhang, J.H.[Jian-Hua], Zhao, Y.Z.[Yan-Zhu], Chen, S.Y.[Sheng-Yong],
Object-level saliency: Fusing objectness estimation and saliency detection into a uniform framework,
JVCIR(53), 2018, pp. 102-112.
Elsevier DOI 1805
Object-level, Salient object detection, Saliency, Objectness, Background prior, Peeling BibRef

Nouri, F.[Fatemeh], Kazemi, K.[Kamran], Danyali, H.[Habibollah],
Salient object detection using local, global and high contrast graphs,
SIViP(12), No. 4, May 2018, pp. 659-667.
WWW Link. 1805
BibRef

Umeki, Y.[Yo], Yoshida, T.[Taichi], Iwahashi, M.[Masahiro],
Co-Propagation with Distributed Seeds for Salient Object Detection,
IEICE(E101-D), No. 6, June 2018, pp. 1640-1647.
WWW Link. 1806
BibRef

Dai, B.[Bo], Ye, W.J.[Wei-Jing], Zheng, J.[Jing], Chai, Q.Y.[Qian-Yi], Yao, Y.Y.[Yi-Yang],
Retraction: Deep network for visual saliency prediction by encoding image composition,
JVCIR(67), 2020, pp. 102756.
Elsevier DOI 2004
BibRef
Earlier: JVCIR(55), 2018, pp. 789-794.
Elsevier DOI 1809
Deep network, Visual saliency regions, Image composition BibRef

El Sayed, A.R.[Abdul Rahman], El Chakik, A.[Abdallah], Alabboud, H.[Hassan], Yassine, A.[Adnan],
Efficient 3D mesh salient region detection using local homogeneity measure,
IET-IPR(12), No. 9, September 2018, pp. 1663-1672.
DOI Link 1809
BibRef

Wang, Y.Z.[Yan-Zhao], Peng, G.H.[Guo-Hua],
Salient object detection based on compactness and foreground connectivity,
MVA(29), No. 7, October 2018, pp. 1143-1155.
WWW Link. 1810
BibRef

Yang, C.L.[Chun-Lei], Wang, X.L.[Xiang-Luo], Pu, J.X.[Jie-Xin], Xie, G.S.[Guo-Sen], Liu, Z.H.[Zhong-Hua], Dong, Y.S.[Yong-Sheng], Liang, L.F.[Ling-Fei],
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection,
JVCIR(56), 2018, pp. 27-37.
Elsevier DOI 1811
Salient object detection, Complex scene, Locality-constrained Linear Coding (LLC), Manifold ranking, Region clustering BibRef

Xiao, H., Feng, J., Wei, Y., Zhang, M., Yan, S.,
Deep Salient Object Detection With Dense Connections and Distraction Diagnosis,
MultMed(20), No. 12, December 2018, pp. 3239-3251.
IEEE DOI 1812
learning (artificial intelligence), neural nets, object detection, distraction-free image, combined S-Net, model interpretability BibRef

Abkenar, M.R.[Masoumeh Rezaei], Sadreazami, H.[Hamidreza], Ahmad, M.O.[M. Omair],
Salient region detection using feature extraction in the non-subsampled contourlet domain,
IET-IPR(12), No. 12, December 2018, pp. 2275-2282.
DOI Link 1812
BibRef

Kampffmeyer, M.[Michael], Dong, N.Q.[Nan-Qing], Liang, X.D.[Xiao-Dan], Zhang, Y.[Yujia], Xing, E.P.[Eric P.],
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation,
IP(28), No. 5, May 2019, pp. 2518-2529.
IEEE DOI 1903
convolutional neural nets, graph theory, image segmentation, inference mechanisms, probability, ConnNet, connectivity BibRef

Zhang, Q.[Qing], Lin, J.J.[Jia-Jun], Zhuge, J.J.[Jing-Jing], Yuan, W.H.[Wen-Hao],
Multi-level and multi-scale deep saliency network for salient object detection,
JVCIR(59), 2019, pp. 415-424.
Elsevier DOI 1903
Saliency detection, Salient object detection, Fully convolutional neural network, Multi-scale features BibRef

Nguyen, K.D.[Khanh-Duy], Nguyen, K.[Khang], Le, D.D.[Duy-Dinh], Duong, D.A.[Duc Anh], Nguyen, T.V.[Tam V.],
You always look again: Learning to detect the unseen objects,
JVCIR(60), 2019, pp. 206-216.
Elsevier DOI 1903
Deep learning, Dual-level deep networks, Object detection BibRef

Zhang, Q.A.[Qi-Ang], Huo, Z.[Zhen], Liu, Y.[Yi], Pan, Y.H.[Yun-Hui], Shan, C.F.[Cai-Feng], Han, J.G.[Jun-Gong],
Salient object detection employing a local tree-structured low-rank representation and foreground consistency,
PR(92), 2019, pp. 119-134.
Elsevier DOI 1905
Salient object detection, Structured low-rank representation, Background dictionary, Foreground consistency BibRef

Wang, Y., Zhao, X., Hu, X., Li, Y., Huang, K.,
Focal Boundary Guided Salient Object Detection,
IP(28), No. 6, June 2019, pp. 2813-2824.
IEEE DOI 1905
feature extraction, image segmentation, learning (artificial intelligence), object detection, deep learning BibRef

Zhang, P., Liu, W., Lu, H., Shen, C.,
Salient Object Detection With Lossless Feature Reflection and Weighted Structural Loss,
IP(28), No. 6, June 2019, pp. 3048-3060.
IEEE DOI 1905
feature extraction, image classification, image segmentation, learning (artificial intelligence), spatially consistent saliency BibRef

Tao, Q.Y.[Qing-Yi], Yang, H.[Hao], Cai, J.F.[Jian-Fei],
Exploiting Web Images for Weakly Supervised Object Detection,
MultMed(21), No. 5, May 2019, pp. 1135-1146.
IEEE DOI 1905
convolutional neural nets, Internet, learning (artificial intelligence), object detection, curriculum learning BibRef

Jerripothula, K.R.[Koteswar Rao], Cai, J.F.[Jian-Fei], Yuan, J.S.[Jun-Song],
QCCE: Quality constrained co-saliency estimation for common object detection,
VCIP15(1-4)
IEEE DOI 1605
Estimation BibRef

Li, C.P.[Cui-Ping], Chen, Z.X.[Zhen-Xue], Wu, Q.M.J.[Q. M. Jonathan], Liu, C.Y.[Cheng-Yun],
Saliency object detection: integrating reconstruction and prior,
MVA(30), No. 3, April 2019, pp. 397-406.
Springer DOI 1906
BibRef

Li, H.Z.[Hong-Zhi], Ellis, J.G.[Joseph G.], Zhang, L.[Lei], Chang, S.F.[Shih-Fu],
Automatic visual pattern mining from categorical image dataset,
MultInfoRetr(8), No. 1, March 2019, pp. 35-45.
Springer DOI 1906
BibRef

Zhang, P.P.[Ping-Ping], Liu, W.[Wei], Lei, Y.[Yinjie], Lu, H.C.[Hu-Chuan],
Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection,
PR(93), 2019, pp. 521-533.
Elsevier DOI 1906
Salient object detection, Image reflection separation, Multiple feature fusion, Convolutional Neural Network BibRef

Lin, X., Wang, Z., Ma, L., Wu, X.,
Saliency Detection via Multi-Scale Global Cues,
MultMed(21), No. 7, July 2019, pp. 1646-1659.
IEEE DOI 1906
Image segmentation, Saliency detection, Image resolution, Smoothing methods, Streaming media, Feature extraction, Proposals, image smoothing and segmentation BibRef

Xu, Q.Z.[Qing-Zhen], Wang, F.Y.[Feng-Yun], Gong, Y.Y.[Yong-Yi], Wang, Z.T.[Zhou-Tao], Zeng, K.[Kun], Li, Q.[Qi], Luo, X.N.[Xiao-Nan],
A novel edge-oriented framework for saliency detection enhancement,
IVC(87), 2019, pp. 1-12.
Elsevier DOI 1906
Saliency detection enhancements, Visual attention, Edge probability map, Edge-region BibRef

Singh, S.K.[Surya Kant], Srivastava, R.[Rajeev],
A Novel Probabilistic Contrast-Based Complex Salient Object Detection,
JMIV(61), No. 7, September 2019, pp. 990-1006.
WWW Link. 1908
BibRef

Tang, Y.B.[You-Bao], Wu, X.Q.[Xiang-Qian],
Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial Learning,
MultMed(21), No. 9, September 2019, pp. 2237-2247.
IEEE DOI 1909
Object detection, Feature extraction, Generators, Estimation, Convolutional neural networks, Decoding, Kernel, adversarial learning BibRef

Chen, W.B.[Wen-Bing], Dahal, K.[Keshav], Huang, S.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

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.[Xuewen], Li, Y.[Yibin],
Salient object detection with adversarial training,
IET-IPR(13), No. 14, 12 December 2019, pp. 2859-2865.
DOI Link 1912
BibRef

Pang, Y.[Yu], Yu, X.S.[Xiao-Sheng], Wang, Y.[Ying], Wu, C.D.[Cheng-Dong],
Salient object detection based on novel graph model,
JVCIR(65), 2019, pp. 102676.
Elsevier DOI 1912
Salient object detection, Background prior, Novel graph model, Saliency propagation, Optimization method BibRef

Ma, G., Chen, C., Li, S., Peng, C., Hao, A., Qin, H.,
Salient Object Detection via Multiple Instance Joint Re-Learning,
MultMed(22), No. 2, February 2020, pp. 324-336.
IEEE DOI 2001
Feature extraction, Object detection, Saliency detection, Visualization, Deep learning, Correlation, Topology, Joint Re-Learning BibRef

Cao, Y.P.[Yan-Peng], Fu, G.Z.[Gui-Zhong], Yang, J.X.[Jiang-Xin], Cao, Y.L.[Yan-Long], Yang, M.Y.[Michael Ying],
Accurate Salient Object Detection via Dense Recurrent Connections and Residual-Based Hierarchical Feature Integration,
SP:IC(78), 2019, pp. 103-112.
Elsevier DOI 1909
Convolutional neural network, Recurrent convolutional layer, Salient object detection, Hierarchical feature fusion, Deep supervision BibRef

Yang, J.X.[Jia-Xing], Fang, X.[Xiang], Zhang, L.[Lihe], Lu, H.C.[Hu-Chuan], Wei, G.H.[Guo-Hua],
Salient Object Detection via Double Random Walks with Dual Restarts,
IVC(93), 2020, pp. 103822.
Elsevier DOI 2001
Salient object detection, Double random walks, Propagation distance, Dual restarts BibRef

Sikha, O.K., Soman, K.P.,
Multi-resolution dynamic mode decomposition-based salient region detection in noisy images,
SIViP(14), No. 1, February 2020, pp. 167-175.
WWW Link. 2001
BibRef

Chen, S.[Shuhan], Tan, X.L.[Xiu-Li], Wang, B.[Ben], Lu, H., Hu, X.L.[Xue-Long], Fu, Y.,
Reverse Attention-Based Residual Network for Salient Object Detection,
IP(29), 2020, pp. 3763-3776.
IEEE DOI 2002
BibRef
Earlier: A1, A2, A3, A5, Only:
Reverse Attention for Salient Object Detection,
ECCV18(IX: 236-252).
Springer DOI 1810
Salient object detection, reverse attention, side-output residual learning, saliency prior BibRef

Wang, B.[Ben], Chen, S.H.[Shu-Han], Wang, J.[Jian], Hu, X.L.[Xue-Long],
Residual feature pyramid networks for salient object detection,
VC(36), No. 9, September 2020, pp. 1897-1908.
WWW Link. 2008
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

Srivastava, G.[Gargi], Srivastava, R.[Rajeev],
User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters,
MVA(31), No. 3, March 2020, pp. Article17.
WWW Link. 2004
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

Luo, A.[Ao], Li, X.[Xin], Yang, F.[Fan], Jiao, Z.C.[Zhi-Cheng], Cheng, H.[Hong],
Webly-supervised learning for salient object detection,
PR(103), 2020, pp. 107308.
Elsevier DOI 2005
Salient object detection, Webly-supervised learning, Deep learning BibRef

Zhang, M., Ji, W., Piao, Y., Li, J., Zhang, Y., Xu, S., Lu, H.,
LFNet: Light Field Fusion Network for Salient Object Detection,
IP(29), 2020, pp. 6276-6287.
IEEE DOI 2005
Light field, salient object detection, convolutional neural networks, fusion network BibRef

Li, C.Y.[Cheng-Yuan], Luo, B.[Bin], Hong, H.L.[Hai-Long], Su, X.[Xin], Wang, Y.[Yajun], Liu, J.[Jun], Wang, C.J.[Chen-Jie], Zhang, J.[Jing], Wei, L.[Linhai],
Object Detection Based on Global-Local Saliency Constraint in Aerial Images,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Greenberg, S.[Shlomo], Bensimon, M.[Moshe], Podeneshko, Y.[Yevgeny], Gens, A.[Alon],
Fusion of visual salience maps for object acquisition,
IET-CV(14), No. 4, June 2020, pp. 113-121.
DOI Link 2005
BibRef

Singh, V.K.[Vivek Kumar], Kumar, N.[Nitin],
Saliency bagging: a novel framework for robust salient object detection,
VC(36), No. 7, July 2020, pp. 1423-1441.
WWW Link. 2005
BibRef

Qin, X.B.[Xue-Bin], Zhang, Z.C.[Zi-Chen], Huang, C.Y.[Chen-Yang], Dehghan, M.[Masood], Zaiane, O.R.[Osmar R.], Jagersand, M.[Martin],
U2-Net: Going deeper with nested U-structure for salient object detection,
PR(106), 2020, pp. 107404.
Elsevier DOI 2006
Salient object detection, Convolutional neural network, Network architecture design, Nested U-structure, Multi-scale feature extraction BibRef

Wang, W.G.[Wen-Guan], Shen, J.B.[Jian-Bing], Dong, X.P.[Xing-Ping], Borji, A.[Ali], Yang, R.G.[Rui-Gang],
Inferring Salient Objects from Human Fixations,
PAMI(42), No. 8, August 2020, pp. 1913-1927.
IEEE DOI 2007
BibRef
Earlier: A1, A2, A3, A4, Only:
Salient Object Detection Driven by Fixation Prediction,
CVPR18(1711-1720)
IEEE DOI 1812
Visualization, Object detection, Task analysis, Predictive models, Deep learning, Biological system modeling, Measurement. Analytical models, Computational modeling, Predictive models BibRef

Mukherjee, P.[Prerana], Lall, B.[Brejesh],
Conditional Random Field based salient proposal set generation and its application in content aware seam carving,
SP:IC(87), 2020, pp. 115890.
Elsevier DOI 2007
object edge density. Structured prediction, Edge classification, Salient edge density based scoring, Salient region preserving seam carving BibRef

Yildirim, G.[Gökhan], Sen, D.[Debashis], Kankanhalli, M.[Mohan], Süsstrunk, S.[Sabine],
Evaluating salient object detection in natural images with multiple objects having multi-level saliency,
IET-IPR(14), No. 10, August 2020, pp. 2249-2262.
DOI Link 2008
BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Zhang, J.M.[Ji-Muyang], Wang, L.[Le], Huang, D.[Dong], Du, S.Y.[Shao-Yi], Zheng, N.N.[Nan-Ning],
Hierarchical U-Shape Attention Network for Salient Object Detection,
IP(29), 2020, pp. 8417-8428.
IEEE DOI 2008
Object detection, Fuses, Training, Feature extraction, Shape, Memory management, Heating systems, Salient object detection, attention regularization BibRef

Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Wang, L.[Le], Zhang, J.Y.[Jimu-Yang], Wang, F.[Fei], Huang, D.[Dong], Zheng, N.N.[Nan-Ning],
Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection,
IP(30), 2021, pp. 1-14.
IEEE DOI 2011
Image edge detection, Object detection, Feature extraction, Inference algorithms, Training, Prediction algorithms, Semantics, Hierarchical and Interactive Refinement Network BibRef

Tang, W.[Wei], Wang, Z.J.[Zhi-Jian], Zhai, J.Y.[Ji-You], Yang, Z.J.[Zhang-Jing],
Salient object detection via two-stage absorbing Markov chain based on background and foreground,
JVCIR(71), 2020, pp. 102727.
Elsevier DOI 2009
Saliency object detection, Markov chain, Background absorbing, Foreground absorbing BibRef

Sun, P., Chen, G., Shang, Y.,
Adaptive Saliency Biased Loss for Object Detection in Aerial Images,
GeoRS(58), No. 10, October 2020, pp. 7154-7165.
IEEE DOI 2009
Detectors, Training, Object detection, Feature extraction, Neural networks, Remote sensing, Benchmark testing, Retinanet BibRef

Wang, T.[Tao], He, X.M.[Xu-Ming], Cai, Y.Z.[Yuan-Zheng], Xiao, G.B.[Guo-Bao],
Learning a Layout Transfer Network for Context Aware Object Detection,
ITS(21), No. 10, October 2020, pp. 4209-4224.
IEEE DOI 2010
Layout, Object detection, Estimation, Context modeling, Cognition, Feature extraction, scene layout transfer BibRef

Zhu, L., Chen, J., Hu, X., Fu, C.W., Xu, X., Qin, J., Heng, P.A.,
Aggregating Attentional Dilated Features for Salient Object Detection,
CirSysVideo(30), No. 10, October 2020, pp. 3358-3371.
IEEE DOI 2010
Feature extraction, Saliency detection, Object detection, Aggregates, Task analysis, Visualization, Benchmark testing, multiple layer aggregation BibRef

Guo, F.[Fei], Yang, Y.[Yuan], Gao, Y.[Yong], Yu, N.M.[Ning-Mei],
Efficient Salient Object Detection Model with Dilated Convolutional Networks,
IEICE(E103-D), No. 10, October 2020, pp. 2199-2207.
WWW Link. 2010
BibRef

Chen, Z.X.[Zi-Xuan], Zhou, H.J.[Hua-Jun], Lai, J.H.[Jian-Huang], Yang, L.X.[Ling-Xiao], Xie, X.H.[Xiao-Hua],
Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation,
IP(30), 2021, pp. 431-443.
IEEE DOI 2012
Object segmentation, Feature extraction, Visualization, Semantics, Image segmentation, Decoding, Aggregates, attention BibRef

Kalash, M., Islam, M.A., Bruce, N.D.B.,
Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks,
PAMI(43), No. 1, January 2021, pp. 204-219.
IEEE DOI 2012
BibRef
Earlier: A2, A1, A3:
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects,
CVPR18(7142-7150)
IEEE DOI 1812
Object detection, Training, Benchmark testing, Observers, Feature extraction, Measurement, Manuals, Saliency, saliency ranking, benchmark. Decoding, Task analysis, Semantics, Observers, Labeling BibRef

Jia, S., Bruce, N.D.B.,
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve,
CVPR20(2664-2673)
IEEE DOI 2008
Measurement, Standards, Smoothing methods, Predictive models, Benchmark testing, Training, Robustness BibRef

Wang, A.,
Three-Stream Cross-Modal Feature Aggregation Network for Light Field Salient Object Detection,
SPLetters(28), 2021, pp. 46-50.
IEEE DOI 2101
Feature extraction, Saliency detection, Fuses, Visualization, Streaming media, salient object detection BibRef

Wang, L., Chen, R., Zhu, L., Xie, H., Li, X.,
Deep Sub-Region Network for Salient Object Detection,
CirSysVideo(31), No. 2, February 2021, pp. 728-741.
IEEE DOI 2102
Feature extraction, Saliency detection, Object detection, Semantics, Benchmark testing, Visualization, parallel atrous spatial pyramid pooling (ASPP) modules BibRef

Liu, Y.Z.[Yan-Zhu], Wang, Y.N.[Ya-Nan], Kong, A.W.K.[Adams Wai Kin],
Pixel-wise ordinal classification for salient object grading,
IVC(106), 2021, pp. 104086.
Elsevier DOI 2102
Ordinal classification, Salient object grading, Deep neural networks BibRef

Tu, Z., Ma, Y., Li, C., Tang, J., Luo, B.,
Edge-Guided Non-Local Fully Convolutional Network for Salient Object Detection,
CirSysVideo(31), No. 2, February 2021, pp. 582-593.
IEEE DOI 2102
Image edge detection, Feature extraction, Object detection, Saliency detection, Deep learning, Convolution, Context modeling, fully convolutional neural network 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

Shi, C.J.[Cai-Juan], Zhang, W.M.[Wei-Ming], Duan, C.Y.[Chang-Yu], Chen, H.[Houru],
A pooling-based feature pyramid network for salient object detection,
IVC(107), 2021, pp. 104099.
Elsevier DOI 2103
Salient object detection, U-shaped feature pyramid, Pooling, Convolutional neural network, Deep feature learning BibRef

Liu, Y., Zhang, X.Y., Bian, J.W., Zhang, L., Cheng, M.M.,
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection,
IP(30), 2021, pp. 3804-3814.
IEEE DOI 2104
Stereo image processing, Object detection, Task analysis, Fuses, Deep learning, Visualization, Semantics, multi-scale learning BibRef

Ma, G.X.[Guang-Xiao], Li, S.[Shuai], Chen, C.Z.[Chengli-Zhao], Hao, A.[Aimin], Qin, H.[Hong],
Rethinking Image Salient Object Detection: Object-Level Semantic Saliency Reranking First, Pixelwise Saliency Refinement Later,
IP(30), 2021, pp. 4238-4252.
IEEE DOI 2104
Semantics, Visualization, Object detection, Computational modeling, Image color analysis, Training, Feature extraction, object-level ranking BibRef

Wang, H.B.[Hai-Bo], Yu, W.Y.[Wen-Yong], You, J.B.[Jiang-Bin], Ma, R.L.[Ruo-Lin], Wang, W.L.[Wei-Lin], Li, B.[Bo],
A Unified Framework for Anomaly Detection of Satellite Images Based on Well-Designed Features and an Artificial Neural Network,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Liu, Y.X.[Yu-Xuan], Wang, P.J.[Peng-Jie], Cao, Y.[Ying], Liang, Z.J.[Zi-Jian], Lau, R.W.H.[Rynson W. H.],
Weakly-Supervised Salient Object Detection With Saliency Bounding Boxes,
IP(30), 2021, pp. 4423-4435.
IEEE DOI 2104
Object detection, Annotations, Detectors, Training, Proposals, Computer science, Task analysis, Saliency bounding boxes, weak supervision BibRef

Zheng, X.Y.[Xiao-Yang], Tan, X.[Xin], Zhou, J.[Jie], Ma, L.Z.[Li-Zhuang], Lau, R.W.H.[Rynson W. H.],
Weakly-Supervised Saliency Detection via Salient Object Subitizing,
CirSysVideo(31), No. 11, November 2021, pp. 4370-4380.
IEEE DOI 2112
Saliency detection, Task analysis, Object detection, Feature extraction, Training, Image segmentation, Annotations, object subitizing BibRef

He, S.F.[Sheng-Feng], Lau, R.W.H.[Rynson W. H.],
Exemplar-Driven Top-Down Saliency Detection via Deep Association,
CVPR16(5723-5732)
IEEE DOI 1612
BibRef
Earlier:
Saliency Detection with Flash and No-flash Image Pairs,
ECCV14(III: 110-124).
Springer DOI 1408
Only closer (foreground or salient) objects are well lit by the flash. BibRef

Li, J.X.[Jun-Xia], Pan, Z.F.[Ze-Feng], Liu, Q.S.[Qing-Shan], Wang, Z.Y.[Zi-Yang],
Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection,
MultMed(23), 2021, pp. 1397-1409.
IEEE DOI 2105
Feature extraction, Convolution, Saliency detection, Semantics, Task analysis, Object detection, Visualization, Saliency detection, cross-layer cross-channel complements 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

Pan, C.[Chen], Liu, J.F.[Jian-Feng], Yan, W.Q.[Wei Qi], Cao, F.L.[Fei-Long], He, W.[Wei], Zhou, Y.X.[Yong-Xia],
Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks,
IP(30), 2021, pp. 4773-4787.
IEEE DOI 2105
BibRef

Zhang, Q.D.[Qiu-Dan], Wang, S.Q.[Shi-Qi], Wang, X.[Xu], Sun, Z.H.[Zhen-Hao], Kwong, S.[Sam], Jiang, J.M.[Jian-Min],
A Multi-Task Collaborative Network for Light Field Salient Object Detection,
CirSysVideo(31), No. 5, 2021, pp. 1849-1861.
IEEE DOI 2105
BibRef

Zhang, Q.D.[Qiu-Dan], Wang, S.Q.[Shi-Qi], Wang, X.[Xu], Sun, Z.H.[Zhen-Hao], Kwong, S.[Sam], Jiang, J.M.[Jian-Min],
Geometry Auxiliary Salient Object Detection for Light Fields via Graph Neural Networks,
IP(30), 2021, pp. 7578-7592.
IEEE DOI 2109
Object detection, Graph neural networks, Feature extraction, Geometry, Correlation, Visualization, graph neural networks BibRef

Zhang, J.L.[Jun-Lin], Wang, X.[Xu],
Light Field Salient Object Detection via Hybrid Priors,
MMMod20(II:361-372).
Springer DOI 2003
BibRef

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

Huang, Z.[Zhou], Chen, H.[Huaixin], Liu, B.Y.[Bi-Yuan], Wang, Z.X.[Zhi-Xi],
Semantic-Guided Attention Refinement Network for Salient Object Detection in Optical Remote Sensing Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhou, Z.H.[Zhi-Heng], Guo, Y.F.[Yong-Fan], Dai, M.[Ming], Huang, J.C.[Jun-Chu], Li, X.W.[Xiang-Wei],
Weakly Supervised Salient Object Detection Via Double Object Proposals Guidance,
IET-IPR(15), No. 9, 2021, pp. 1957-1970.
DOI Link 2106
BibRef

Dong, B.[Bowen], Huang, Z.T.[Zi-Tong], Guo, Y.L.[Yue-Lin], Wang, Q.L.[Qi-Long], Niu, Z.X.[Zhen-Xing], Zuo, W.M.[Wang-Meng],
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters,
ICCV21(2856-2865)
IEEE DOI 2203
Training, Location awareness, Codes, Computational modeling, Object detection, Classification algorithms, 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

Shan, D.J.[Dong-Jing], Zhang, X.W.[Xiong-Wei], Wang, L.M.[Li-Min], Cao, T.Y.[Tie-Yong], Zhang, C.[Chao],
Saliency Detection With a Three-Stage Hierarchical Network,
IEEE_Int_Sys(36), No. 3, May 2021, pp. 72-79.
IEEE DOI 2107
Feature extraction, Deep learning, Solid modeling, Saliency detection, Image segmentation, Intelligent systems, image segmentation 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

Li, J.N.[Jia-Ning], Li, J.[Jia], Zhu, L.[Lin], Xiang, X.J.[Xi-Jie], Huang, T.J.[Tie-Jun], Tian, Y.H.[Yong-Hong],
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection,
IP(31), 2022, pp. 2975-2987.
IEEE DOI 2205
Object detection, Cameras, Detectors, Task analysis, Streaming media, Recurrent neural networks, Meters, Object detection, event cameras, neuromorphic engineering 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

Wang, Z.Y.[Zhen-Yu], Zhang, Y.Z.[Yun-Zhou], Liu, Y.[Yan], Liu, S.C.[Shi-Chang], Coleman, S.A.[Sonya A.], Kerr, D.[Dermot],
MFC-Net: Multi-feature fusion cross neural network for salient object detection,
IVC(113), 2021, pp. 104243.
Elsevier DOI 2108
Salient object detection, Cross network framework, Contextual feature transfer, Feature fusion 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

Wu, Z.Y.[Zhen-Yu], Li, S.[Shuai], Chen, C.[Chenglizhao], Hao, A.[Aimin], Qin, H.[Hong],
Recursive multi-model complementary deep fusion for robust salient object detection via parallel sub-networks,
PR(121), 2022, pp. 108212.
Elsevier DOI 2109
Salient object detection, Deep learning, Multi-model fusion 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

Zhang, L.[Libao], Ma, J.[Jie],
Salient Object Detection Based on Progressively Supervised Learning for Remote Sensing Images,
GeoRS(59), No. 11, November 2021, pp. 9682-9696.
IEEE DOI 2111
Annotations, Training, Supervised learning, Remote sensing, Object detection, Image segmentation, Feature extraction, weakly supervised learning (WSL) 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

Lv, Y.Q.[Yun-Qiu], Liu, B.[Bowen], Zhang, J.[Jing], Dai, Y.C.[Yu-Chao], Li, A.[Aixuan], Zhang, T.[Tong],
Semi-supervised Active Salient Object Detection,
PR(123), 2022, pp. 108364.
Elsevier DOI 2112
Salient object detection, Annotation-efficient Learning, Active learning, Variational Auto-Encoder 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
BibRef

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
BibRef

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

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

Liang, Y.H.[Yan-Hua], Qin, G.[Guihe], Sun, M.H.[Ming-Hui], Qin, J.[Jun], Yan, J.[Jie], Zhang, Z.H.[Zhong-Han],
Dual guidance enhanced network for light field salient object detection,
IVC(118), 2022, pp. 104352.
Elsevier DOI 2202
Light field, Salient object detection, Convolutional neural network, Hierarchical interaction, Boundary-guided semantic accumulation BibRef

Wu, Z.Y.[Zhen-Yu], Li, S.[Shuai], Chen, C.[Chenglizhao], 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

Song, S.Y.[Shao-Yue], Miao, Z.J.[Zhen-Jiang], Yu, H.K.[Hong-Kai], Fang, J.[Jianwu], Zheng, K.[Kang], Ma, C.[Cong], Wang, S.[Song],
Deep Domain Adaptation Based Multi-Spectral Salient Object Detection,
MultMed(24), 2022, pp. 128-140.
IEEE DOI 2202
Deep learning, Synchronization, Object detection, Task analysis, Lighting, Adaptation models, Meteorology, Domain adaptation, salient object detection BibRef

Wang, G.B.[Guan-Bo], Ding, H.W.[Hong-Wei], Yang, Z.J.[Zhi-Jun], Li, B.[Bo], Wang, Y.H.[Yi-Hao], Bao, L.Y.[Li-Yong],
TRC-YOLO: A real-time detection method for lightweight targets based on mobile devices,
IET-CV(16), No. 2, 2022, pp. 126-142.
DOI Link 2202
CBAM, dilated convolution, object detection, receptive field block (RFB), TridentNet, YOLO BibRef

Xu, Y.Q.[Yun-Qiu], Yu, X.[Xin], Zhang, J.[Jing], Zhu, L.C.[Lin-Chao], Wang, D.D.[Da-Dong],
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting,
IP(31), 2022, pp. 2148-2161.
IEEE DOI 2203
Training, Image edge detection, Annotations, Feature extraction, Task analysis, Object detection, Data mining, weakly supervised learning BibRef

Zhao, W.[Wangbo], Zhang, J.[Jing], Li, L.[Long], Barnes, N.[Nick], Liu, N.[Nian], Han, J.W.[Jun-Wei],
Weakly Supervised Video Salient Object Detection,
CVPR21(16821-16830)
IEEE DOI 2111
Training, Annotations, Object detection, Boosting, Data models, Pattern recognition BibRef

Zhang, J.[Jing], Yu, X.[Xin], Li, A.X.[Ai-Xuan], Song, P.P.[Pei-Pei], Liu, B.[Bowen], Dai, Y.C.[Yu-Chao],
Weakly-Supervised Salient Object Detection via Scribble Annotations,
CVPR20(12543-12552)
IEEE DOI 2008
Object detection, Image edge detection, Semantics, Image segmentation, Training, Logic gates, Measurement BibRef

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
BibRef

Zhang, Q.[Qing], Shi, Y.J.[Yan-Jiao], Zhang, X.Q.[Xue-Qin],
Attention and boundary guided salient object detection,
PR(107), 2020, pp. 107484.
Elsevier DOI 2008
Salient object detection, Visual saliency, Feature learning, Fully convolutional neural network BibRef

Zhang, J.[Jin], Shi, Y.J.[Yan-Jiao], Zhang, Q.[Qing], Cui, L.[Liu], Chen, Y.[Ying], Yi, Y.G.[Yu-Gen],
Attention Guided Contextual Feature Fusion Network for Salient Object Detection,
IVC(117), 2022, pp. 104337.
Elsevier DOI 2112
Salient object detection, Fully convolutional neural network, Attention mechanism, Feature fusion BibRef

Zhang, L.Q.[Li-Qian], Zhang, Q.[Qing], Zhao, R.[Rui],
Progressive Dual-Attention Residual Network for Salient Object Detection,
CirSysVideo(32), No. 9, September 2022, pp. 5902-5915.
IEEE DOI 2209
Saliency detection, Feature extraction, Task analysis, Semantics, Object detection, Fuses, Deep learning, Salient object detection, feature screening BibRef

Chen, X.W.[Xiao-Wei], Zhang, Q.[Qing], Zhang, L.Q.[Li-Qian],
Edge-Aware Salient Object Detection Network Via Context Guidance,
IVC(110), 2021, pp. 104166.
Elsevier DOI 2106
Salient object detection, Saliency, Context guidance, Attention, Multi-scale feature BibRef

Zhang, J.[Jin], Liang, Q.W.[Qiu-Wei], Guo, Q.Q.[Qian-Qian], Yang, J.Y.[Jin-Yu], Zhang, Q.[Qing], Shi, Y.J.[Yan-Jiao],
R2Net: Residual refinement network for salient object detection,
IVC(120), 2022, pp. 104423.
Elsevier DOI 2204
Deep learning, Salient object detection, Multi-scale feature, Feature fusion BibRef

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

Xu, X.M.[Xue-Miao], Chen, J.X.[Jia-Xing], Zhang, H.D.[Huai-Dong], Han, G.Q.[Guo-Qiang],
SA-DPNet: Structure-aware dual pyramid network for salient object detection,
PR(127), 2022, pp. 108624.
Elsevier DOI 2205
Saliency detection, Structure coherence, Deep neural network BibRef

Wu, Y.H.[Yu-Huan], Liu, Y.[Yun], Zhang, L.[Le], Cheng, M.M.[Ming-Ming], Ren, B.[Bo],
EDN: Salient Object Detection via Extremely-Downsampled Network,
IP(31), 2022, pp. 3125-3136.
IEEE DOI 2205
Semantics, Representation learning, Feature extraction, Decoding, Convolution, Location awareness, Image segmentation, high-level feature learning 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.[Qiuwei], Shi, Y.[Yanjiao],
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

Su, H.[Hu], He, Y.[Yonghao], Jiang, R.[Rui], Zhang, J.[Jiabin], Zou, W.[Wei], Fan, B.[Bin],
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection,
PR(131), 2022, pp. 108868.
Elsevier DOI 2208
Convolutional neural network, Object detection, Centerness score, Intersection-of-union 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

Liu, Y.[Yan], Zhang, Y.Z.[Yun-Zhou], Wang, Z.Y.[Zhen-Yu], Yang, F.[Fei], Qin, C.[Cao], Qiu, F.[Feng], Coleman, S.[Sonya], Kerr, D.[Dermot],
Complementary characteristics fusion network for weakly supervised salient object detection,
IVC(126), 2022, pp. 104536.
Elsevier DOI 2209
Salient object detection, Weakly supervised learning, Edge fusion module, Feature correlation module, Self-supervised salient detection loss BibRef

Yang, J.[Jie], Shi, Y.[Yong], Qi, Z.Q.[Zhi-Quan],
Learning deep feature correspondence for unsupervised anomaly detection and segmentation,
PR(132), 2022, pp. 108874.
Elsevier DOI 2209
Anomaly detection, Anomaly segmentation, Feature correspondence, Dual network 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

Li, L.T.B.[Lv Tang Bo], Zhong, Y.[Yijie], Ding, S.H.[Shou-Hong], Song, M.[Mofei],
Disentangled High Quality Salient Object Detection,
ICCV21(3560-3570)
IEEE DOI 2203
Training, Deep learning, Uncertainty, Semantics, Refining, Graphics processing units, Transfer/Low-shot/Semi/Unsupervised Learning 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

Ouyang, S.X.[Sheng-Xiong], Wang, X.L.[Xing-Lu], Lyu, K.[Kejie], Li, Y.M.[Ying-Ming],
Pseudo-Label Generation-Evaluation Framework for Cross Domain Weakly Supervised Object Detection,
ICIP21(724-728)
IEEE DOI 2201
Annotations, Image processing, Detectors, Object detection, Task analysis, Cross domain, Weakly supervised, Object detection, Evaluator 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

Che, W.Q.[Wen-Qi], Sun, L.Y.[Luo-Yi], Xie, Z.F.[Zhi-Feng], Ding, Y.D.[You-Dong], Han, K.L.[Kai-Li],
Multi-Scale Graph Convolutional Interaction Network for Salient Object Detection,
ICIP21(679-683)
IEEE DOI 2201
Measurement, Deep learning, Fuses, Aggregates, Focusing, Object detection, Salient object detection, multi-scale interaction 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

Fan, Q.[Qi], Fan, D.P.[Deng-Ping], Fu, H.[Huazhu], Tang, C.K.[Chi-Keung], Shao, L.[Ling], Tai, Y.W.[Yu-Wing],
Group Collaborative Learning for Co-Salient Object Detection,
CVPR21(12283-12293)
IEEE DOI 2111
Codes, Computational modeling, Semantics, Object detection, Benchmark testing, Collaborative work BibRef

Wang, S.Z.[Shen-Zhi], Wu, L.[Liwei], 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
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Tan, J.[Jing], Xiong, P.F.[Peng-Fei], Lv, Z.[Zhengyi], Xiao, K.[Kuntao], He, Y.[Yuwen],
Local Context Attention for Salient Object Segmentation,
ACCV20(I:706-722).
Springer DOI 2103
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Tang, L.[Lv], Li, B.[Bo],
Class: Cross-level Attention and Supervision for Salient Objects Detection,
ACCV20(III:420-436).
Springer DOI 2103
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Gao, S.H.[Shang-Hua], Tan, Y.Q.A.[Yong-Qi-Ang], Cheng, M.M.[Ming-Ming], Lu, C.Z.[Cheng-Ze], Chen, Y.P.[Yun-Peng], Yan, S.C.[Shui-Cheng],
Highly Efficient Salient Object Detection with 100k Parameters,
ECCV20(VI:702-721).
Springer DOI 2011
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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
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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
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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

Kosugi, S., Yamasaki, T., Aizawa, K.,
Object-Aware Instance Labeling for Weakly Supervised Object Detection,
ICCV19(6063-6071)
IEEE DOI 2004
image annotation, image classification, iterative methods, learning (artificial intelligence), object detection, Focusing BibRef

Inoue, N., Furuta, R., Yamasaki, T., Aizawa, K.,
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation,
CVPR18(5001-5009)
IEEE DOI 1812
Object detection, Task analysis, Detectors, Dogs, Search engines, Feature extraction, Noise measurement BibRef

Wang, J., Xing, Y., Zeng, G.,
Global Context Encoding for Salient Objects Detection,
ICPR18(2337-2342)
IEEE DOI 1812
Encoding, Object detection, Task analysis, Semantics, Feature extraction, Image segmentation 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).
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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
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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
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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
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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

Zhang, D., Han, J., Zhang, Y.,
Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector,
ICCV17(4068-4076)
IEEE DOI 1802
convolution, image fusion, neural nets, object detection, unsupervised learning, DNNs, deep convolutional models, Unsupervised learning BibRef

Rekik, F.[Farah], Ayedi, W.[Walid], Jallouli, M.[Mohamed],
Performance Evaluation of Multiscale Covariance Descriptor in Underwater Object Detection,
CIAP17(II:258-266).
Springer DOI 1711
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Luo, Z., Mishra, A., Achkar, A., Eichel, J., Li, S., Jodoin, P.M.,
Non-local Deep Features for Salient Object Detection,
CVPR17(6593-6601)
IEEE DOI 1711
Computational modeling, Convolution, Feature extraction, Image resolution, Image segmentation, Machine learning, Predictive, models BibRef

Zhou, L., Yang, S., Yang, Y., Yang, Z.,
Geodesic distance and compactness prior based salient region detection,
ICVNZ16(1-5)
IEEE DOI 1701
Diffusion processes BibRef

López-Sastre, R.J.[Roberto J.],
Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories,
Robust16(1187-1195)
IEEE DOI 1612
Different features to aggregate different partitions to get objects. BibRef

Cholakkal, H.[Hisham], Johnson, J.[Jubin], Rajan, D.[Deepu],
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency,
CVPR16(5278-5287)
IEEE DOI 1612
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Lee, G.Y.[Ga-Young], Tai, Y.W.[Yu-Wing], Kim, J.[Junmo],
Deep Saliency with Encoded Low Level Distance Map and High Level Features,
CVPR16(660-668)
IEEE DOI 1612
Salient regions BibRef

Kim, J.[Jongpil], Pavlovic, V.[Vladimir],
A shape preserving approach for salient object detection using convolutional neural networks,
ICPR16(609-614)
IEEE DOI 1705
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A Shape-Based Approach for Salient Object Detection Using Deep Learning,
ECCV16(IV: 455-470).
Springer DOI 1611
Computational modeling, Image segmentation, Neural networks, Object detection, Proposals, Shape, Training BibRef

Filali, I.[Idir], Allili, M.S.[Mohand Said], Benblidia, N.[Nadjia],
Multi-graph Based Salient Object Detection,
ICIAR16(318-324).
Springer DOI 1608
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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
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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).
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Xiang, D.[Dao], Wang, Z.[Zilei],
Salient Object Detection via Saliency Spread,
AutoSystems14(457-472).
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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.[Zhixun],
Object level image saliency by hierarchical segmentation,
ICIP13(1772-1776)
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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],
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ICIP13(3278-3282)
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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)
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hierarchical segmentation;object saliency;region-based saliency map BibRef

Kim, J.[Jiwhan], Lee, H.[Hansang], Kim, J.[Junmo],
A novel method for salient object detection via compactness measurement,
ICIP13(3426-3430)
IEEE DOI 1402
Salient object detection;compactness;superpixel BibRef

Schauerte, B., Stiefelhagen, R.,
How the distribution of salient objects in images influences salient object detection,
ICIP13(74-78)
IEEE DOI 1402
Adaptation models BibRef

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A Global-Local Approach to Saliency Detection,
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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],
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ICIP14(4294-4298)
IEEE DOI 1502
Computational modeling BibRef

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ICIP12(1073-1076).
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Tang, H.[Hao],
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ICIP12(1097-1100).
IEEE DOI 1302
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IEEE DOI 1208
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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
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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
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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
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Katramados, I.[Ioannis], Breckon, T.P.[Toby P.],
Real-time visual saliency by Division of Gaussians,
ICIP11(1701-1704).
IEEE DOI 1201
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Saber, Y.[Yusuf], Kyan, M.[Matthew],
High resolution biologically inspired salient region detection,
ICIP11(649-652).
IEEE DOI 1201
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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
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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).
IEEE DOI 1101
BibRef

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

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

Last update:Sep 28, 2022 at 16:10:08