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Recent advances of deep learning have achieved remarkable performances in various challenging computer vision tasks.
The mammographic image analysis society digital mammogram database
J. Suckling, J. Parker, D. Dance, S. Astley, I. Hutt, C. Boggis, I. Ricketts, E. Stamatakis, N. Cerneaz, S. Kok, et al · 1994
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Current status of the digital database for screening mammography
M. Heath, K. Bowyer, D. Kopans, P. Kegelmeyer Jr, R. Moore, K. Chang, and S. Munishkumaran · 1998
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A framework for multiple-instance learning
O. Maron and T. Lozano-Pérez · 1998
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The digital database for screening mammography
M. Heath, K. Bowyer, D. Kopans, R. Moore, and W. P. Kegelmeyer · 2000
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Support vector machines for multiple-instance learning
S. Andrews, I. Tsochantaridis, and T. Hofmann · 2002
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Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization
S. Vijayanarasimhan and K. Grauman · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Boosted multi-task learning for face verification with applications to web image and video search
X. Wang, C. Zhang, and Z. Zhang · 2009
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A review of multi-instance learning assumptions
J. Foulds and E. Frank · 2010
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Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
A. Vezhnevets and J. M. Buhmann · 2010
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Scene recognition and weakly supervised object localization with deformable part-based models
M. Pandey and S. Lazebnik · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Unsupervised discovery of mid-level discriminative patches
S. Singh, A. Gupta, and A. Efros · 2012
Cited alongside, same era.
Robust visual tracking via multi-task sparse learning
T. Zhang, B. Ghanem, S. Liu, and N. Ahuja · 2012
Cited alongside, same era.
Automatic screening for tuberculosis in chest radiographs: a survey
S. Jaeger, A. Karargyris, S. Candemir, J. Siegelman, L. Folio, S. Antani, and G. Thoma · 2013
Cited alongside, same era.
Overfeat: Integrated recognition, localization and detection using convolutional networks
Automatic tuberculosis screening using chest radiographs
S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. K. Singh, S. Antani, et al · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Weakly supervised object localization with latent category learning
C. Wang, W. Ren, K. Huang, and T. Tan · 2014
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Is object localization for free?–weakly-supervised learning with convolutional neural networks
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P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2013
Cited alongside, same era.
Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration
S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. K. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald · 2014
Cited alongside, same era.
Scalable object detection using deep neural networks
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2014
Cited alongside, same era.
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2015
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From image-level to pixel-level labeling with convolutional networks
P. O. Pinheiro and R. Collobert · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Deep multiple instance learning for image classification and auto-annotation
J. Wu, Y. Yu, C. Huang, and K. Yu · 2015
Later among the works it cites.