7.1.10.1.3 Salient Regions, Convolutional Neural Networks, Deep Nets

He, S.F.[Sheng-Feng], Lau, R.W.H.[Rynson W.H.], Liu, W.X.[Wen-Xi], Huang, Z.[Zhe], Yang, Q.X.[Qing-Xiong],
SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection,
IJCV(115), No. 3, December 2015, pp. 330-344.
Springer DOI 1512
BibRef

Li, X., Zhao, L., Wei, L., Yang, M.H., Wu, F., Zhuang, Y., Ling, H., Wang, J.,
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection,
IP(25), No. 8, August 2016, pp. 3919-3930.
IEEE DOI 1608
Computational modeling BibRef

Xiao, F.[Fen], Deng, W.Z.[Wen-Zheng], Peng, L.C.[Liang-Chan], Cao, C.H.[Chun-Hong], Hu, K.[Kai], Gao, X.P.[Xie-Ping],
Multi-scale deep neural network for salient object detection,
IET-IPR(12), No. 11, November 2018, pp. 2036-2041.
DOI Link 1810
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

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

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, P.P.[Ping-Ping], Liu, W.[Wei], Lei, Y.J.[Yin-Jie], 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

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

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

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

Chen, S.H.[Shu-Han], 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

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

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

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

Feng, M., Lu, H., Yu, Y.,
Residual Learning for Salient Object Detection,
IP(29), 2020, pp. 4696-4708.
IEEE DOI 2003
Object detection, Feature extraction, Image reconstruction, Visualization, Task analysis, Image segmentation, deep learning BibRef

Huang, K.[Kun], Gao, S.H.[Sheng-Hua],
Image saliency detection via multi-scale iterative CNN,
VC(36), No. 7, July 2020, pp. 1355-1367.
WWW Link. 2005
BibRef

Chen, Z.[Zhe], Wang, R.[Ruili], Yu, M.[Ming], Gao, H.M.[Hong-Min], Li, Q.[Qi], Wang, H.[Huibin],
Spatial-temporal multi-task learning for salient region detection,
PRL(132), 2020, pp. 76-83.
Elsevier DOI 2005
BibRef

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

Li, Z.[Zun], Lang, C.[Congyan], Liew, J.H.[Jun Hao], Li, Y.D.[Yi-Dong], Hou, Q.B.[Qi-Bin], Feng, J.S.[Jia-Shi],
Cross-Layer Feature Pyramid Network for Salient Object Detection,
IP(30), 2021, pp. 4587-4598.
IEEE DOI 2105
Feature extraction, Object detection, Semantics, Saliency detection, Fuses, Visualization, progressive feature fusion BibRef

Zhang, Q.[Qing], Li, X.[Xiang],
Salient object detection network with multi-scale feature refinement and boundary feedback,
IVC(116), 2021, pp. 104326.
Elsevier DOI 2112
Salient object detection, Saliency detection, Multi-scale features, Boundary, Attention BibRef

Zhang, C.[Chao], Yang, F.[Fei], Qiu, G.P.[Guo-Ping], Zhang, Q.[Qian],
Salient Object Detection With Capsule-Based Conditional Generative Adversarial Network,
ICIP19(81-85)
IEEE DOI 1910
Salient Object Detection, Image-level Saliency, Generative Adversarial Network, cGAN, Capsule Net 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

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.[Yun], Zhang, X.Y.[Xin-Yu], Bian, J.W.[Jia-Wang], Zhang, L.[Le], Cheng, M.M.[Ming-Ming],
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

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

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

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

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

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

Obeso, A.M.[Abraham Montoya], Benois-Pineau, J.[Jenny], García Vázquez, M.S.[Mireya Saraí], Acosta, A.Á.R.[Alejandro Álvaro Ramírez],
Visual vs internal attention mechanisms in deep neural networks for image classification and object detection,
PR(123), 2022, pp. 108411.
Elsevier DOI 2112
Deep learning, Image classification, Object detection, Visual attention, Saliency maps 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, 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

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

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

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

Zhang, Q.[Qing], Zhao, R.[Rui], Zhang, L.Q.[Li-Qian],
TCRNet: A Trifurcated Cascaded Refinement Network for Salient Object Detection,
CirSysVideo(33), No. 1, January 2023, pp. 298-311.
IEEE DOI 2301
Feature extraction, Object detection, Semantics, Representation learning, Fuses, Aggregates, Task analysis, cascaded refinement 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, 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, 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

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

Su, H.[Hu], He, Y.H.[Yong-Hao], Jiang, R.[Rui], Zhang, J.B.[Jia-Bin], 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

Feng, X.[Xuelu], Zhou, S.P.[San-Ping], Zhu, Z.X.[Zi-Xin], Wang, L.[Le], Hua, G.[Gang],
Local to Global Feature Learning for Salient Object Detection,
PRL(162), 2022, pp. 81-88.
Elsevier DOI 2210
Salient object detection, Deep neural network, Local to global feature representation BibRef

Niu, Y.[Ye], Zhou, S.P.[San-Ping], Dong, Y.H.[Yong-Hao], Wang, L.[Le], Wang, J.J.[Jin-Jun], Zheng, N.N.[Nan-Ning],
Bidirectional Feature Learning Network for RGB-D Salient Object Detection,
PR(150), 2024, pp. 110304.
Elsevier DOI Code:
WWW Link. 2403
RGB-D salient object detection, Bidirectional feature fusion, Dual consistency loss BibRef

Fang, Y.M.[Yu-Ming], Zhang, H.Y.[Hai-Yan], Yan, J.[Jiebin], Jiang, W.H.[Wen-Hui], Liu, Y.[Yang],
UDNet: Uncertainty-aware deep network for salient object detection,
PR(134), 2023, pp. 109099.
Elsevier DOI 2212
Salient object detection, Contour uncertainty, Feature interaction BibRef

Pang, Y.[Youwei], Zhao, X.Q.[Xiao-Qi], Zhang, L.[Lihe], Lu, H.C.[Hu-Chuan],
CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection,
IP(32), 2023, pp. 892-904.
IEEE DOI 2301
Transformers, Feature extraction, Task analysis, Object detection, Convolution, Image segmentation, convolutional neural networks BibRef

Tang, B.[Bin], Liu, Z.Y.[Zheng-Yi], Tan, Y.C.[Ya-Cheng], He, Q.[Qian],
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection,
CirSysVideo(33), No. 2, February 2023, pp. 728-742.
IEEE DOI 2302
Task analysis, Convolution, Transformers, Object detection, Feature extraction, Convolutional neural networks, light field BibRef

Wang, X.H.[Xian-Heng], Liu, Z.B.[Zhao-Bin], Liesaputra, V.[Veronica], Huang, Z.[Zhiyi],
Feature specific progressive improvement for salient object detection,
PR(147), 2024, pp. 110085.
Elsevier DOI 2312
Salient object detection, Fully convolutional neural network, Level-specific feature extraction, Progressive refinement of saliency BibRef

Chen, Y.L.[Yi-Lei], Li, G.Y.[Gong-Yang], An, P.[Ping], Liu, Z.[Zhi], Huang, X.P.[Xin-Peng], Wu, Q.[Qiang],
Light Field Salient Object Detection With Sparse Views via Complementary and Discriminative Interaction Network,
CirSysVideo(34), No. 2, February 2024, pp. 1070-1085.
IEEE DOI Code:
WWW Link. 2402
Light fields, Feature extraction, Arrays, Object detection, Cameras, Streaming media, Light field, salient object detection, complementary and discriminative interaction BibRef

Jing, L.H.[Liang-Hu], Wang, B.[Bo],
EMNet: Edge-guided multi-level network for salient object detection in low-light images,
IVC(143), 2024, pp. 104933.
Elsevier DOI 2403
Low-light images, Salient object detection, Multi-layer feature fusion, Edge feature highlight BibRef

Yi, Y.[Yugen], Zhang, N.[Ningyi], Zhou, W.[Wei], Shi, Y.J.[Yag-Jiao], Xie, G.[Gengsheng], Wang, J.Z.[Jian-Zhong],
GPONet: A two-stream gated progressive optimization network for salient object detection,
PR(150), 2024, pp. 110330.
Elsevier DOI Code:
WWW Link. 2403
Salient object detection, Two-stream network, Multi-level feature fusion, Gating mechanism, Edge detection BibRef

Liu, P.F.[Pei-Fu], Xu, T.F.[Ting-Fa], Chen, H.[Huan], Zhou, S.Y.[Shi-Yun], Qin, H.L.[Hao-Lin], Li, J.A.[Jian-An],
Spectrum-Driven Mixed-Frequency Network for Hyperspectral Salient Object Detection,
MultMed(26), 2024, pp. 5296-5310.
IEEE DOI 2404
Image edge detection, Feature extraction, Object detection, Hyperspectral imaging, Head, Neural networks, Image color analysis, spectrum BibRef

Wang, X.[Xin], Feng, J.[Jin], Fu, W.[Wei], Xu, J.F.[Jun-Feng],
Light Field Salient Object Detection Based on Spatial Feature Compensation,
CVIDL23(583-588)
IEEE DOI 2403
Deep learning, Image coding, Image color analysis, Noise reduction, Redundancy, Imaging, Object detection, Light field, feature interaction BibRef

Xie, C.X.[Chen-Xi], Xia, C.Q.[Chang-Qun], Ma, M.C.[Ming-Can], Zhao, Z.R.[Zhi-Rui], Chen, X.W.[Xiao-Wu], Li, J.[Jia],
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection,
CVPR22(11707-11716)
IEEE DOI 2210
Training, Image resolution, Shape, Object detection, Transformers, Feature extraction, Convolutional neural networks, Segmentation, grouping and shape analysis 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

Zhao, X.Q.[Xiao-Qi], Pang, Y.W.[You-Wei], Zhang, L.[Lihe], Lu, H.C.[Hu-Chuan], Zhang, L.[Lei],
Suppress and Balance: A Simple Gated Network for Salient Object Detection,
ECCV20(II:35-51).
Springer DOI 2011
BibRef

Zhang, C., Cao, Z., Xiong, X., Xian, K., Qi, X.,
Salient Object Detection via Deep Hierarchical Context Aggregation and Multi-Layer Supervision,
ICIP19(2941-2945)
IEEE DOI 1910
saliency detection, deep layer aggregation, intermediate supervision BibRef

Xu, Y., Xu, D., Hong, X., Ouyang, W., Ji, R., Xu, M., Zhao, G.,
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection,
ICCV19(3788-3797)
IEEE DOI 2004
convolutional neural nets, learning (artificial intelligence), message passing, object detection, structured modeling BibRef

Hassan, M.U., Niu, D., Zhao, X., Shohag, M.S.A., Ma, Y., Zhang, M.,
Salient Object Detection based on CNN Fusion of Two Types of Saliency Models,
IVCNZ19(1-6)
IEEE DOI 2004
convolutional neural nets, feature extraction, image colour analysis, image fusion, object detection, transforms, SLIC BibRef

Najibi, M., Yang, F., Wang, Q., Piramuthu, R.,
Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection,
WACV18(1432-1441)
IEEE DOI 1806
Gaussian distribution, convolution, feedforward neural nets, learning (artificial intelligence), object detection, Visualization BibRef

Wan, Z., He, H.,
Weakly supervised object localization with deep convolutional neural network based on spatial pyramid saliency map,
ICIP17(4177-4181)
IEEE DOI 1803
Convolutional neural networks, Head, Labeling, Machine learning, spatial pyramid saliency map BibRef

Zhang, J., Li, B., Dai, Y., Porikli, F.M.[Fatih M.], He, M.,
Integrated deep and shallow networks for salient object detection,
ICIP17(1537-1541)
IEEE DOI 1803
Color, Convolutional neural networks, Machine learning, Object detection, Saliency detection, Semantics, Training, shallow network BibRef

Chen, X., Zheng, A., Li, J., Lu, F.,
Look, Perceive and Segment: Finding the Salient Objects in Images via Two-stream Fixation-Semantic CNNs,
ICCV17(1050-1058)
IEEE DOI 1802
feature extraction, image segmentation, learning (artificial intelligence), object detection, SOD, Streaming media BibRef

He, S., Jiao, J., Zhang, X., Han, G., Lau, R.W.H.,
Delving into Salient Object Subitizing and Detection,
ICCV17(1059-1067)
IEEE DOI 1802
backpropagation, image representation, neural nets, object detection, adaptive weight layer, Training BibRef

Bianco, S.[Simone], Buzzelli, M.[Marco], Schettini, R.[Raimondo],
A Fully Convolutional Network for Salient Object Detection,
CIAP17(II:82-92).
Springer DOI 1711
BibRef

Zhang, J., Dai, Y., Li, B., He, M.,
Attention to the Scale: Deep Multi-Scale Salient Object Detection,
DICTA17(1-7)
IEEE DOI 1804
feature extraction, image fusion, learning (artificial intelligence), neural nets, Semantics BibRef

Zhang, J., Dai, Y., Porikli, F.M.[Fatih M.],
Deep Salient Object Detection by Integrating Multi-level Cues,
WACV17(1-10)
IEEE DOI 1609
Feature extraction, Image resolution, Image segmentation, Machine learning, Neural networks, Object detection, Semantics BibRef

Shimoda, W., Yanai, K.,
Weakly-supervised segmentation by combining CNN feature maps and object saliency maps,
ICPR16(1935-1940)
IEEE DOI 1705
Adaptation models, Convolution, Feature extraction, Image segmentation, Proposals, Semantics, Training BibRef

Kuen, J.[Jason], Wang, Z.H.[Zhen-Hua], Wang, G.[Gang],
Recurrent Attentional Networks for Saliency Detection,
CVPR16(3668-3677)
IEEE DOI 1612
BibRef

Tang, Y.[Youbao], Wu, X.Q.[Xiang-Qian],
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs,
ECCV16(VIII: 809-825).
Springer DOI 1611
BibRef

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

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Object Proposals, Initial Points, Proto-Objects, Candidates .