Fetching the paper…
Reading the bibliography…
Recently, Babenko and Lempitsky introduced Additive Quantization (AQ), a generalization of Product Quantization (PQ) where a non-independent set of codebooks is used to compress vectors into small binary codes.
The computational complexity of probabilistic inference using Bayesian belief networks
G. F. Cooper · 1990
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Earlier work this paper cites.
Building the gist of a scene: The role of global image features in recognition
A. Oliva and A. Torralba · 2006
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Fast approximate nearest neighbors with automatic algorithm configuration
M. Muja and D. G. Lowe · 2009
Earlier work this paper cites.
Spectral hashing
Y. Weiss, A. Torralba, and R. Fergus · 2009
Earlier work this paper cites.
Aggregating local descriptors into a compact image representation
H. Jégou, M. Douze, C. Schmid, and P. Pérez · 2010
Earlier work this paper cites.
Improving the Fisher kernel for large-scale image classification
F. Perronnin, J. Sánchez, and T. Mensink · 2010
Cited alongside, same era.
Picodes: Learning a compact code for novel-category recognition
A. Bergamo, L. Torresani, and A. W. Fitzgibbon · 2011
Cited alongside, same era.
Iterative quantization: A Procrustean approach to learning binary codes
Y. Gong and S. Lazebnik · 2011
Cited alongside, same era.
Product quantization for nearest neighbor search
H. Jégou, M. Douze, and C. Schmid · 2011
Cited alongside, same era.
High-dimensional signature compression for large-scale image classification
J. Sánchez and F. Perronnin · 2011
Cited alongside, same era.
Multiple queries for large scale specific object retrieval
R. Arandjelović and A. Zisserman · 2012
Cited alongside, same era.
Cartesian k-means
M. Norouzi and D. J. Fleet · 2013
Later among the works it cites.
Visualizing and understanding convolutional neural networks
M. D. Zeiler and R. Fergus · 2013
Later among the works it cites.
Additive quantization for extreme vector compression
A. Babenko and V. Lempitsky · 2014
Closest in time.
Return of the devil in the details: Delving deep into convolutional nets
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
Closest in time.
Efficient on-the-fly category retrieval using convnets and GPUs
K. Chatfield, K. Simonyan, and A. Zisserman · 2014
Closest in time.
Optimized product quantization
T. Ge, K. He, Q. Ke, and J. Sun · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The inverted multi-index
A. Babenko and V. Lempitsky · 2012
Cited alongside, same era.
Closest in time.