Publications

Publications describing Caffe

If you use Caffe, cite the website:

@misc{Jia13caffe,
   Author = {Yangqing Jia},
   Title = { {Caffe}: An Open Source Convolutional Architecture for Fast Feature Embedding},
   Year  = {2013},
   Howpublished = {\url{http://caffe.berkeleyvision.org/}
}

There is also a report that motivates the framework, compares it to other implementations, touches on implementation details, and highlights applications.

[Caffe: Convolutional Architecture for Fast Feature Embedding][acmm]
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell
ACM MM Open Source Competition 2014 [acmm]: https://github.com/UCB-ICSI-Vision-Group/caffe-paper/raw/arxiv/caffe.pdf

Publications using Caffe

Google Scholar index for Caffe.

Tell Me What You See and I will Show You Where It Is
Jia Xu, Alexander G. Schwing, Raquel Urtasun.
CVPR 2014

Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, J. Malik
CVPR 2014
arXiv:1311.2524, November 2013.

CNN: Single-label to Multi-label
Yunchao Wei, Wei Xia, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan
arXiv 2014

Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
BMVC 2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
arXiv 2014

[Simultaneous Detection and Segmentation] (http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/BharathECCV2014.pdf)
B. Hariharan, P. Arbelaez, R. Girshick, J. Malik
ECCV 2014

[Learning Rich Features from RGB-D Images for Object Detection and Segmentation] (http://www.cs.berkeley.edu/~sgupta/pdf/rcnn-depth.pdf)
S. Gupta, R. Girshick, P. Arbelaez, J. Malik
ECCV 2014

[Part-based R-CNNs for Fine-grained Category Detection] (http://www.cs.berkeley.edu/~rbg/papers/part-rcnn.pdf)
N. Zhang, J. Donahue, R. Girshick, T. Darrell
ECCV 2014

Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell
arXiv 2014

Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
arXiv 2014

Add your own!