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Deep neural network (DNN) based salient object detection in images based on high-quality labels is expensive.
Learning to detect a salient object
Liu, T., Yuan, Z., Sun, J., Wang, J., Zheng, N., Tang, X., and Shum, H.-Y · 2010
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Image segmentation by probabilistic bottom-up aggregation and cue integration
Alpert, S., Galun, M., Brandt, A., and Basri, R · 2011
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Context-aware saliency detection
Goferman, S., Zelnik-Manor, L., and Tal, A · 2011
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Efficient inference in fully connected crfs with gaussian edge potentials
Krähenbühl, P. and Koltun, V · 2011
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Saliency detection via dense and sparse reconstruction
Li, X., Lu, H., Zhang, L., Ruan, X., and Yang, M.-H · 2013
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Hierarchical saliency detection
Yan, Q., Xu, L., Shi, J., and Jia, J · 2013
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Saliency detection via graph-based manifold ranking
Yang, C., Zhang, L., Lu, H., Ruan, X., and Yang, M.-H · 2013
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Salient object detection: A survey
Borji, A., Cheng, M.-M., Hou, Q., Jiang, H., and Li, J · 2014
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Global contrast based salient region detection
Cheng, M.-M., Mitra, N. J., Huang, X., Torr, P. H., and Hu, S.-M · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Saliency optimization from robust background detection
Zhu, W., Liang, S., Wei, Y., and Sun, J · 2014
Cited alongside, same era.
Salient object detection: A benchmark
Borji, A., Cheng, M.-M., Jiang, H., and Li, J · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., and Darrell, T · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al · 2015
Cited alongside, same era.
Tell: Neural image caption generation with visual attention
Show, A · 2015
Cited alongside, same era.
Saliency detection by multi-context deep learning
Zhao, R., Ouyang, W., Li, H., and Wang, X · 2015
Cited alongside, same era.
Saliency detection with recurrent fully convolutional networks
Wang, L., Wang, L., Lu, H., Zhang, P., and Ruan, X · 2016
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Deeply supervised salient object detection with short connections
Hou, Q., Cheng, M.-M., Hu, X., Borji, A., Tu, Z., and Torr, P. H · 2017
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Non-local deep features for salient object detection
Luo, Z., Mishra, A., Achkar, A., Eichel, J., Li, S., and Jodoin, P.-M · 2017
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A stagewise refinement model for detecting salient objects in images
Wang, T., Borji, A., Zhang, L., Zhang, P., and Lu, H · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., and Yuille, A. L · 2018
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Fusionnet and augmentedflownet: Selective proxy ground truth for training on unlabeled images
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Harf: Hierarchy-associated rich features for salient object detection
Zou, W. and Komodakis, N · 2015
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., and Schiele, B · 2016
Cited alongside, same era.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
Deepsaliency: Multi-task deep neural network model for salient object detection
Li, X., Zhao, L., Wei, L., Yang, M.-H., Wu, F., Zhuang, Y., Ling, H., and Wang, J · 2016
Cited alongside, same era.
Saliency detection via absorbing markov chain
Jiang, B., Zhang, L., Lu, H., Yang, C., and Yang, M.-H
Cited in the paper.
Supervision by fusion: Towards unsupervised learning of deep salient object detector
Zhang, D., Han, J., and Zhang, Y
Cited in the paper.
Makansi, O., Ilg, E., and Brox, T · 2018
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Adversarial scene editing: Automatic object removal from weak supervision
Shetty, R. R., Fritz, M., and Schiele, B · 2018
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Deep unsupervised saliency detection: A multiple noisy labeling perspective
Zhang, J., Zhang, T., Dai, Y., Harandi, M., and Hartley, R · 2018
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Salient object detection: A discriminative regional feature integration approach
Jiang, H., Wang, J., Yuan, Z., Wu, Y., Zheng, N., and Li, S · 2090
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