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Weakly supervised instance segmentation with image-level labels, instead of expensive pixel-level masks, remains unexplored.
Modeling visual attention via selective tuning
J. K. Tsotsos, S. M. Culhane, W. Y. K. Wai, Y. Lai, N. Davis, and F. Nuflo · 1995
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Interactive graph cuts for optimal boundary & region segmentation of objects in nd images
Y. Y. Boykov and M.-P. Jolly · 2001
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Visualizing higher-layer features of a deep network
D. Erhan, Y. Bengio, A. Courville, and P. Vincent · 2009
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Selective search for object recognition
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders · 2013
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Microsoft COCO: common objects in context
T. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
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Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks
C. Cao, X. Liu, Y. Yang, Y. Yu, J. Wang, Z. Wang, Y. Huang, L. Wang, C. Huang, W. Xu, et al · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
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Fast edge detection using structured forests
P. Dollár and C. L. Zitnick · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. J. V. Gool, C. K. I. Williams, J. M. Winn, and A. Zisserman · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Is object localization for free? - weakly-supervised learning with convolutional neural networks
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2015
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Weakly- and semi-supervised learning of a DCNN for semantic image segmentation
G. Papandreou, L. Chen, K. Murphy, and A. L. Yuille · 2015
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Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G. Papandreou, L.-C. Chen, K. P. Murphy, and A. L. Yuille · 2015
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Fully convolutional multi-class multiple instance learning
D. Pathak, E. Shelhamer, J. Long, and T. Darrell · 2015
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From image-level to pixel-level labeling with convolutional networks
P. H. O. Pinheiro and R. Collobert · 2015
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Weakly supervised semantic segmentation with convolutional networks
P. O. Pinheiro and R. Collobert · 2015
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Boosting object proposals: From pascal to coco
J. Pont-Tuset and L. Van Gool · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Learning to segment under various forms of weak supervision
J. Xu, A. G. Schwing, and R. Urtasun · 2015
Cited alongside, same era.
Weakly supervised semantic segmentation for social images
W. Zhang, S. Zeng, D. Wang, and X. Xue · 2015
Cited alongside, same era.
Monocular object instance segmentation and depth ordering with cnns
Z. Zhang, A. G. Schwing, S. Fidler, and R. Urtasun · 2015
Cited alongside, same era.
What’s the point: Semantic segmentation with point supervision
A. Bearman, O. Russakovsky, V. Ferrari, and L. FeiFei · 2016
Cited alongside, same era.
Pronet: Learning to propose object-specific boxes for cascaded neural networks
C. Sun, M. Paluri, R. Collobert, R. Nevatia, and L. Bourdev · 2016
Later among the works it cites.
Pixel-level encoding and depth layering for instance-level semantic labeling
J. Uhrig, M. Cordts, U. Franke, and T. Brox · 2016
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Top-down neural attention by excitation backprop
J. Zhang, Z. L. Lin, J. Brandt, X. Shen, and S. Sclaroff · 2016
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Instance-level segmentation for autonomous driving with deep densely connected mrfs
Z. Zhang, S. Fidler, and R. Urtasun · 2016
Later among the works it cites.
Learning deep features for discriminative localization
B. Zhou, A. Khosla, À. Lapedriza, A. Oliva, and A. Torralba · 2016
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Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
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Weakly supervised localization using deep feature maps
A. J. Bency, H. Kwon, H. Lee, S. Karthikeyan, and B. S. Manjunath · 2016
Cited alongside, same era.
Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 2016
Cited alongside, same era.
R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Cited alongside, same era.
Seed, expand and constrain: Three principles for weakly-supervised image segmentation
A. Kolesnikov and C. H. Lampert · 2016
Cited alongside, same era.
Saliency guided dictionary learning for weakly-supervised image parsing
B. Lai and X. Gong · 2016
Cited alongside, same era.
Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
D. Lin, J. Dai, J. Jia, K. He, and J. Sun · 2016
Cited alongside, same era.
T. Durand, T. Mordan, N. Thome, and M. Cord · 2017
Later among the works it cites.
K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
Later among the works it cites.
Simple does it: Weakly supervised instance and semantic segmentation
A. Khoreva, R. Benenson, J. Hosang, M. Hein, and B. Schiele · 2017
Later among the works it cites.
Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
Later among the works it cites.
Convolutional oriented boundaries: From image segmentation to high-level tasks
K. Maninis, J. Pont-Tuset, P. A. Arbeláez, and L. V. Gool · 2017
Later among the works it cites.
Multiscale combinatorial grouping for image segmentation and object proposal generation
J. Pont-Tuset, P. Arbelaez, J. T. Barron, F. Marqués, and J. Malik · 2017
Later among the works it cites.
Combining bottom-up, top-down, and smoothness cues for weakly supervised image segmentation
A. Roy and S. Todorovic · 2017
Later among the works it cites.
Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Y. Wei, J. Feng, X. Liang, M.-M. Cheng, Y. Zhao, and S. Yan · 2017
Later among the works it cites.
Stc: A simple to complex framework for weakly-supervised semantic segmentation
Y. Wei, X. Liang, Y. Chen, X. Shen, M. Cheng, J. Feng, Y. Zhao, and S. Yan · 2017
Later among the works it cites.
Soft proposal networks for weakly supervised object localization
Y. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao · 2017
Later among the works it cites.
Min-entropy latent model for weakly supervised object detection
F. Wan, P. Wei, J. Jiao, Z. Han, and Q. Ye · 2018
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