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Robust Optimization for Deep Regression (MatConvNet Implementation)

Home Page: http://campar.in.tum.de/twiki/pub/Chair/DeepReg/deepreg.html

License: Other

Makefile 1.06% MATLAB 27.38% C++ 17.60% Cuda 27.91% C 1.94% Shell 2.47% Python 6.33% Protocol Buffer 15.32%

matconvnet-deepreg's Introduction

Robust Optimization for Deep Regression

Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, and Nassir Navab, International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015. Arxiv.

Citation:

@inproceedings {belagian15robust,
title = {Robust Optimization for Deep Regression},
author = {Belagiannis, Vasileios and Rupprecht, Christian and Carneiro, Gustavo and Navab, Nassir},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2015},
month = {December},
organization={IEEE}}

The robust loss is integrated in MatConvNet.

Visit our Project Page for more information.

Updates:

  • Added scrpit (generateLSPdata()) to download and generate the LSP dataset
  • Ingeration to MatConvNet-beta20.
  • Training example instructions here.
  • Main files: vl_nntukeyloss, RegLoss.

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