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Lau, R.W.H.[Rynson W.H.],
Liu, W.X.[Wen-Xi],
Huang, Z.[Zhe],
Yang, Q.X.[Qing-Xiong],
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Springer DOI
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
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IP(25), No. 8, August 2016, pp. 3919-3930.
IEEE DOI
1608
Computational modeling
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Deng, W.Z.[Wen-Zheng],
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Cao, C.H.[Chun-Hong],
Hu, K.[Kai],
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IET-IPR(12), No. 11, November 2018, pp. 2036-2041.
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Coarse-to-fine salient object detection based on deep convolutional
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SP:IC(64), 2018, pp. 21-32.
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Saliency detection, Convolutional neural network,
Fully convolutional neural network
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Ye, W.J.[Wei-Jing],
Zheng, J.[Jing],
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2004
BibRef
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JVCIR(55), 2018, pp. 789-794.
Elsevier DOI
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Deep network, Visual saliency regions, Image composition
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Lin, J.J.[Jia-Jun],
Zhuge, J.J.[Jing-Jing],
Yuan, W.H.[Wen-Hao],
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JVCIR(59), 2019, pp. 415-424.
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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.],
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JVCIR(60), 2019, pp. 206-216.
Elsevier DOI
1903
Deep learning, Dual-level deep networks, Object detection
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Zhang, P.P.[Ping-Ping],
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Hyperfusion-Net: Hyper-densely reflective feature fusion for salient
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1906
Salient object detection, Image reflection separation,
Multiple feature fusion, Convolutional Neural Network
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Tang, Y.B.[You-Bao],
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Salient Object Detection Using Cascaded Convolutional Neural Networks
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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
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Cao, Y.P.[Yan-Peng],
Fu, G.Z.[Gui-Zhong],
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Cao, Y.L.[Yan-Long],
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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
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Wang, B.[Ben],
Chen, S.H.[Shu-Han],
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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],
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Jagersand, M.[Martin],
U2-Net: Going deeper with nested U-structure for salient object
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Salient object detection, Convolutional neural network,
Network architecture design, Nested U-structure, Multi-scale feature extraction
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Zhou, S.P.[San-Ping],
Wang, J.J.[Jin-Jun],
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Hierarchical U-Shape Attention Network for Salient Object Detection,
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IEEE DOI
2008
Object detection, Fuses, Training, Feature extraction, Shape,
Memory management, Heating systems, Salient object detection,
attention regularization
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Zhou, S.P.[San-Ping],
Wang, J.J.[Jin-Jun],
Wang, L.[Le],
Zhang, J.Y.[Jimu-Yang],
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Hierarchical and Interactive Refinement Network for Edge-Preserving
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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
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IEICE(E103-D), No. 10, October 2020, pp. 2199-2207.
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Feng, M.,
Lu, H.,
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IP(29), 2020, pp. 4696-4708.
IEEE DOI
2003
Object detection, Feature extraction, Image reconstruction,
Visualization, Task analysis, Image segmentation, deep learning
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Huang, K.[Kun],
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Image saliency detection via multi-scale iterative CNN,
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Chen, Z.[Zhe],
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Spatial-temporal multi-task learning for salient region detection,
PRL(132), 2020, pp. 76-83.
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Huang, M.,
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Zhou, X.,
Le Meur, O.[Olivier],
FANet: Features Adaptation Network for 360° Omnidirectional Salient
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SPLetters(27), 2020, pp. 1819-1823.
IEEE DOI
2011
Feature extraction, Distortion, Integrated circuits,
Object detection, Fuses, Faces,
multi-level features adaptation
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Li, Z.[Zun],
Lang, C.[Congyan],
Liew, J.H.[Jun Hao],
Li, Y.D.[Yi-Dong],
Hou, Q.B.[Qi-Bin],
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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
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Zhang, Q.[Qing],
Li, X.[Xiang],
Salient object detection network with multi-scale feature refinement
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IVC(116), 2021, pp. 104326.
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2112
Salient object detection, Saliency detection,
Multi-scale features, Boundary, Attention
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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
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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
See also Attention-induced semantic and boundary interaction network for camouflaged object detection.
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
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
Yuan, J.B.[Jun-Bin],
Zhu, A.[Aiqing],
Xu, Q.Z.[Qing-Zhen],
Wattanachote, K.[Kanoksak],
Gong, Y.Y.[Yong-Yi],
CTIF-Net: A CNN-Transformer Iterative Fusion Network for Salient
Object Detection,
CirSysVideo(34), No. 5, May 2024, pp. 3795-3805.
IEEE DOI Code:
WWW Link.
2405
Transformers, Feature extraction, Decoding, Semantics,
Iterative methods, Visualization, Task analysis, CNN, transformer,
salient object detection
BibRef
Li, Y.[Yi],
Ma, S.[Sile],
Jiang, X.Y.[Xiang-Yuan],
Luan, Y.Z.[Yi-Zhong],
Jiang, Z.[Zecui],
Probability based dynamic soft label assignment for object detection,
IVC(150), 2024, pp. 105240.
Elsevier DOI Code:
WWW Link.
2409
Deep learning, Object detection, Label assignment
BibRef
Li, X.L.[Xue-Liang],
Salient Object Detection via Hybrid Encoder and Feature Feedback
Fusion Mechanism,
CVIDL23(578-582)
IEEE DOI
2403
Measurement, Visualization, Supervised learning, Object detection,
Network architecture, Feature extraction, Transformers,
channel attention
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,
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ICIP21(679-683)
IEEE DOI
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Measurement, Deep learning, Fuses, Aggregates, Focusing,
Object detection, Salient object detection, multi-scale interaction
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2011
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Zhang, C.,
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ICIP19(2941-2945)
IEEE DOI
1910
saliency detection, deep layer aggregation, intermediate supervision
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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
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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
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IVCNZ19(1-6)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image colour analysis, image fusion, object detection, transforms, SLIC
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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
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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
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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
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Chen, X.,
Zheng, A.,
Li, J.,
Lu, F.,
Look, Perceive and Segment: Finding the Salient Objects in Images via
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ICCV17(1050-1058)
IEEE DOI
1802
feature extraction, image segmentation,
learning (artificial intelligence), object detection, SOD,
Streaming media
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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,
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Bianco, S.[Simone],
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Zhang, J.,
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DICTA17(1-7)
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1804
feature extraction, image fusion,
learning (artificial intelligence), neural nets,
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Zhang, J.,
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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
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Shimoda, W.,
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Weakly-supervised segmentation by combining CNN feature maps and
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ICPR16(1935-1940)
IEEE DOI
1705
Adaptation models, Convolution, Feature extraction,
Image segmentation, Proposals, Semantics, Training
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Kuen, J.[Jason],
Wang, Z.H.[Zhen-Hua],
Wang, G.[Gang],
Recurrent Attentional Networks for Saliency Detection,
CVPR16(3668-3677)
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1612
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Tang, Y.[Youbao],
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Saliency Detection via Combining Region-Level and Pixel-Level
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ECCV16(VIII: 809-825).
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1611
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Kim, J.[Jongpil],
Pavlovic, V.[Vladimir],
A shape preserving approach for salient object detection using
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ICPR16(609-614)
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1705
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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,
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Object Proposals, Initial Points, Proto-Objects, Candidates .