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Recent Salient Object Detection (SOD) systems are mostly based on Convolutional Neural Networks (CNNs).
Frequency-tuned salient region detection
R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Saliency-based discriminant tracking
V. Mahadevan and N. Vasconcelos · 2009
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What is an object?
B. Alexe, T. Deselaers, and V. Ferrari · 2010
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Sun database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba · 2010
Earlier work this paper cites.
Efficient inference in fully connected crfs with gaussian edge potentials
P. Krähenbühl and V. Koltun · 2011
Earlier work this paper cites.
Learning to detect a salient object
T. Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H.-Y. Shum · 2011
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Adaptive object tracking by learning background context
A. Borji, S. Frintrop, D. N. Sihite, and L. Itti · 2012
Earlier work this paper cites.
Discriminative spatial saliency for image classification
G. Sharma, F. Jurie, and C. Schmid · 2012
Earlier work this paper cites.
Category-independent object-level saliency detection
Y. Jia and M. Han · 2013
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Saliency detection via dense and sparse reconstruction
X. Li, H. Lu, L. Zhang, X. Ruan, and M. Yang · 2013
Earlier work this paper cites.
Looking beyond the image: Unsupervised learning for object saliency and detection
P. Siva, C. Russell, T. Xiang, and L. Agapito · 2013
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Saliency detection via graph-based manifold ranking
C. Yang, L. Zhang, R. X. Lu, Huchuan, and M.-H. Yang · 2013
Earlier work this paper cites.
Salient object detection: A survey
A. Borji, M. Cheng, H. Jiang, and J. Li · 2014
Earlier work this paper cites.
Salient region detection via high-dimensional color transform
J. Kim, D. Han, Y. Tai, and J. Kim · 2014
Earlier work this paper cites.
The secrets of salient object segmentation
Y. Li, X. Hou, C. Koch, J. M. Rehg, and A. L. Yuille · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Global contrast based salient region detection
M. Cheng, N. J. Mitra, X. Huang, P. H. S. Torr, and S. Hu · 2015
Cited alongside, same era.
Global contrast based salient region detection
M. Cheng, N. J. Mitra, X. Huang, P. H. S. Torr, and S. Hu · 2015
Cited alongside, same era.
Saliency-driven image classification method based on histogram mining and image score
B. Lei, E.-L. Tan, S. Chen, D. Ni, and T. Wang · 2015
Cited alongside, same era.
Visual saliency based on multiscale deep features
G. Li and Y. Yu · 2015
Salient object detection using a context-aware refinement network
M. A. Islam, M. Kalash, M. Rochan, N. D. B. Bruce, and Y. Wang · 2017
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Webly supervised semantic segmentation
B. Jin, M. V. O. Segovia, and S. Süsstrunk · 2017
Later among the works it cites.
Non-local deep features for salient object detection
Z. Luo, A. Mishra, A. Achkar, J. Eichel, S. Li, and P. Jodoin · 2017
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Learning to detect salient objects with image-level supervision
L. Wang, H. Lu, Y. Wang, M. Feng, D. Wang, B. Yin, and X. Ruan · 2017
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A stagewise refinement model for detecting salient objects in images
T. Wang, A. Borji, L. Zhang, P. Zhang, and H. Lu · 2017
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Amulet: Aggregating multi-level convolutional features for salient object detection
P. Zhang, D. Wang, H. Lu, H. Wang, and X. Ruan · 2017
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Cited alongside, same era.
Deepid3: Face recognition with very deep neural networks
Y. Sun, D. Liang, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Renet: A recurrent neural network based alternative to convolutional networks
F. Visin, K. Kastner, K. Cho, M. Matteucci, A. C. Courville, and Y. Bengio · 2015
Cited alongside, same era.
Holistically-nested edge detection
S. Xie and Z. Tu · 2015
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Mining pixels: Weakly supervised semantic segmentation using image labels
Q. Hou, P. K. Dokania, D. Massiceti, Y. Wei, M.-M. Cheng, and P. H. S. Torr · 2016
Cited alongside, same era.
Gender classification by deep learning on millions of weakly labelled images
S. Jia, T. Lansdall-Welfare, and N. Cristianini · 2016
Cited alongside, same era.
Later among the works it cites.
Learning uncertain convolutional features for accurate saliency detection
P. Zhang, D. Wang, H. Lu, H. Wang, and B. Yin · 2017
Later among the works it cites.
Predicting human eye fixations via an lstm-based saliency attentive model
M. Cornia, L. Baraldi, G. Serra, and R. Cucchiara · 2018
Later among the works it cites.
Deeply supervised salient object detection with short connections
Q. Hou, M. Cheng, X. Hu, A. Borji, Z. Tu, and P. H. S. Torr · 2018
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EML-NET: an expandable multi-layer network for saliency prediction
S. Jia · 2018
Later among the works it cites.
Contour knowledge transfer for salient object detection
X. Li, F. Yang, H. Cheng, W. Liu, and D. Shen · 2018
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Picanet: Learning pixel-wise contextual attention for saliency detection
N. Liu, J. Han, and M.-H. Yang · 2018
Later among the works it cites.
Detect globally, refine locally: A novel approach to saliency detection
T. Wang, L. Zhang, S. Wang, H. Lu, G. Yang, X. Ruan, and A. Borji · 2018
Later among the works it cites.
Learning to promote saliency detectors
Y. Zeng, H. Lu, L. Zhang, M. Feng, and A. Borji · 2018
Later among the works it cites.
Progressive attention guided recurrent network for salient object detection
X. Zhang, T. Wang, J. Qi, H. Lu, and G. Wang · 2018
Later among the works it cites.