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Most methods for object instance segmentation require all training examples to be labeled with segmentation masks.
On seeing stuff: the perception of materials by humans and machines
E. H. Adelson · 2001
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GrabCut: Interactive foreground extraction using iterated graph cuts
C. Rother, V. Kolmogorov, and A. Blake · 2004
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The PASCAL Visual Object Classes (VOC) Challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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A survey on transfer learning
S. J. Pan and Q. Yang · 2010
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Write a classifier: Zero-shot learning using purely textual descriptions
M. Elhoseiny, B. Saleh, and A. Elgammal · 2013
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Rectifier nonlinearities improve neural network acoustic models
A. L. Maas, A. Y. Hannun, and A. Y. Ng · 2013
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2014
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LSDA: Large scale detection through adaptation
J. Hoffman, S. Guadarrama, E. S. Tzeng, R. Hu, J. Donahue, R. Girshick, T. Darrell, and K. Saenko · 2014
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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GloVe: Global vectors for word representation
J. Pennington, R. Socher, and C. Manning · 2014
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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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Convolutional feature masking for joint object and stuff segmentation
J. Dai, K. He, and J. Sun · 2015
Cited alongside, same era.
Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Weakly-and semi-supervised learning of a DCNN for semantic image segmentation
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille · 2015
Cited alongside, same era.
Constrained convolutional neural networks for weakly supervised segmentation
D. Pathak, P. Krahenbuhl, and T. Darrell · 2015
Cited alongside, same era.
Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollar · 2015
Cited alongside, same era.
Learning to refine object segments
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollár · 2016
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Learning to learn: Model regression networks for easy small sample learning
Y.-X. Wang and M. Hebert · 2016
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Latent embeddings for zero-shot classification
Y. Xian, Z. Akata, G. Sharma, Q. Nguyen, M. Hein, and B. Schiele · 2016
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Deep watershed transform for instance segmentation
M. Bai and R. Urtasun · 2017
Closest in time.
Boundary-aware instance segmentation
Z. Hayder, X. He, and M. Salzmann · 2017
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Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Simple does it: Weakly supervised instance and semantic segmentation
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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.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
What’s the point: Semantic segmentation with point supervision
A. Bearman, O. Russakovsky, V. Ferrari, and L. Fei-Fei · 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.
A learned representation for artistic style
V. Dumoulin, J. Shlens, M. Kudlur, A. Behboodi, F. Lemic, A. Wolisz, M. Molinaro, C. Hirche, M. Hayashi, E. Bagan, et al · 2016
Cited alongside, same era.
D. Ha, A. Dai, and Q. V. Le · 2016
Cited alongside, same era.
A. Khoreva, R. Benenson, J. Hosang, M. Hein, and B. Schiele · 2017
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InstanceCut: from edges to instances with multicut
A. Kirillov, E. Levinkov, B. Andres, B. Savchynskyy, and C. Rother · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, M. Bernstein, and L. Fei-Fei · 2017
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Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
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From red wine to red tomato: Composition with context
I. Misra, A. Gupta, and M. Hebert · 2017
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Learning robust visual-semantic embeddings
Y.-H. H. Tsai, L.-K. Huang, and R. Salakhutdinov · 2017
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