DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
@article{Rajchl2017DeepCutOS, title={DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks}, author={Martin Rajchl and M. J. Lee and O. Oktay and K. Kamnitsas and J. Passerat-Palmbach and Wenjia Bai and Bernhard Kainz and D. Rueckert}, journal={IEEE Transactions on Medical Imaging}, year={2017}, volume={36}, pages={674-683} }
In this paper, we propose <italic>DeepCut</italic>, a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding boxes. [...] Key Method It extends the approach of the well-known <italic>GrabCut</italic> <xref ref-type="bibr" rid="ref1">[1]</xref> method to include machine learning by training a neural network classifier from bounding box annotations.Expand Abstract
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References
SHOWING 1-10 OF 53 REFERENCES
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
- Computer Science
- 2015 IEEE International Conference on Computer Vision (ICCV)
- 2015
- 540
- PDF
From image-level to pixel-level labeling with Convolutional Networks
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 430
- PDF
Conditional Random Fields as Recurrent Neural Networks
- Computer Science
- 2015 IEEE International Conference on Computer Vision (ICCV)
- 2015
- 1,937
- PDF
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
- Computer Science
- ArXiv
- 2015
- 381
- Highly Influential
- PDF
Semantic Segmentation without Annotating Segments
- Computer Science
- 2013 IEEE International Conference on Computer Vision
- 2013
- 37
- PDF
Multi-fold MIL Training for Weakly Supervised Object Localization
- Computer Science
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 199
- PDF
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
- Computer Science
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 2,341
- PDF
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
- Computer Science
- 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- 2010
- 149
- PDF