Skip to content

Latest commit

 

History

History
15 lines (13 loc) · 851 Bytes

README.md

File metadata and controls

15 lines (13 loc) · 851 Bytes
Raw

Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"

Please cite our paper if you use this code for your research: http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/G_Learning_Local_Image_CVPR_2016_paper.pdf

@InProceedings{G_2016_CVPR,
  author = {Kumar B G, Vijay and Carneiro, Gustavo and Reid, Ian},
  title = {Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2016}
}

Requirements: software

  1. MATLAB
  2. MatConvNet-13 (http://www.vlfeat.org/matconvnet/download/matconvnet-1.0-beta13.tar.gz)