Capsules for Object Segmentation

Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation

Jayaram K Udupa and Supun Samarasekera · 1996

Earlier work this paper cites.

Object recognition from local scale-invariant features

David G Lowe · 1999

Earlier work this paper cites.

Current methods in medical image segmentation

Dzung L Pham, Chenyang Xu, and Jerry L Prince · 2000

Earlier work this paper cites.

A multiphase level set framework for image segmentation using the mumford and shah model

Luminita A Vese and Tony F Chan · 2002

Earlier work this paper cites.

Efficient graph-based image segmentation

Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004

Earlier work this paper cites.

Histograms of oriented gradients for human detection

Navneet Dalal and Bill Triggs · 2005

Earlier work this paper cites.

Random walks for image segmentation

Leo Grady · 2006

Earlier work this paper cites.

Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection

Eva M van Rikxoort, Bartjan de Hoop, Max A Viergever, Mathias Prokop, and Bram van Ginneken · 2009

Earlier work this paper cites.

Hierarchical scale-based multiobject recognition of 3-d anatomical structures

Ulas Bagci, Xinjian Chen, and Jayaram K Udupa · 2012

Cited alongside, same era.

Adam: A method for stochastic optimization

Original

Diederik P Kingma and Jimmy Ba · 2014

Cited alongside, same era.

A generic approach to pathological lung segmentation

Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N Olivier, Jason M Elinoff, Anthony F Suffredini, Jayaram K Udupa, and Daniel J Mollura · 2014

Cited alongside, same era.

Fully convolutional networks for semantic segmentation

Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015

Cited alongside, same era.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Cited alongside, same era.

Segnet: A deep convolutional encoder-decoder architecture for image segmentation

The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation

Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, and Yoshua Bengio · 2017

Later among the works it cites.

Refinenet: Multi-path refinement networks for high-resolution semantic segmentation

Guosheng Lin, Anton Milan, Chunhua Shen, and Ian Reid · 2017

Later among the works it cites.

Large kernel matters–improve semantic segmentation by global convolutional network

Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, and Jian Sun · 2017

Later among the works it cites.

Dynamic routing between capsules

Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017

Later among the works it cites.

Pyramid scene parsing network

Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017

Later among the works it cites.

Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs