Fetching the paper…
Reading the bibliography…
In this paper we propose a novel framework for learning local image descriptors in a discriminative manner.
Signature verification using a ”siamese” time delay neural network
Bromley, J., Guyon, I., Lecun, Y., Säckinger, E., and Shah, R · 1994
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
Lowe, D · 2004
Earlier work this paper cites.
A performance evaluation of local descriptors
Mikolajczyk, K. and Schmid, C · 2005
Earlier work this paper cites.
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., and Van Gool, L · 2006
Earlier work this paper cites.
The relationship between PR and ROC curves
Davis, J. and Goadrich, M · 2006
Earlier work this paper cites.
Learned local descriptors for recognition and matching
Jahrer, M., Grabner M. Bischof H · 2008
Earlier work this paper cites.
What is the best multi-stage architecture for object recognition?
Jarrett, K., Kavukcuoglu, K., Ranzato, M., and LeCun, Y · 2009
Earlier work this paper cites.
Deep learning from temporal coherence in video
Mobahi, H., Collobert, R., and Weston, J · 2009
Earlier work this paper cites.
Object detection with discriminatively trained part-based models
Felzenszwalb, P., Girshick, R., McAllester, D., and Ramanan, D · 2010
Cited alongside, same era.
Discriminative learning of local image descriptors
Brown, M., Hua, Gang, and Winder, S · 2011
Cited alongside, same era.
Torch7: A matlab-like environment for machine learning
Collobert, R., Kavukcuoglu, K., and Farabet, C · 2011
Cited alongside, same era.
Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval
Gong, Y., Lazebnik, S., Gordo, A., and Perronnin, F · 2012
Cited alongside, same era.
Dense scale-invariant descriptors for images and surfaces
Kokkinos, I., Bronstein, M., and Yuille, A · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G · 2012
An analysis of the connections between layers of deep neural networks
Culurciello, E., Jin, J., Dundar, A., and Bates, J · 2013
Later among the works it cites.
Convolutional neural networks learn compact local image descriptors
Osendorfer, C., Bayer, J., Urban, S., and van der Smagt, P · 2013
Later among the works it cites.
Deep neural networks for object detection
Szegedy, C., Toshev, A., and Erhan, D · 2013
Later among the works it cites.
Dense segmentation-aware descriptors
Trulls, E., Kokkinos, I., Sanfeliu, A., and Moreno-Noguer, F · 2013
Later among the works it cites.
Boosting binary keypoint descriptors
Trzcinski, T., Christoudias, M., Fua, P., and Lepetit, V · 2013
Later among the works it cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R., Donahue, J., Darrell, T., and Malik, J · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Convolutional neural networks applied to house numbers digit classification
Sermanet, P., Chintala, S., and LeCun, Y · 2012
Cited alongside, same era.
Lda-hash: Improved matching with smaller descriptors
Strecha, C., Bronstein, A., Bronstein, M., and Fua, P · 2012
Cited alongside, same era.
Closest in time.
Learning local feature descriptors using convex optimisation
Simonyan, K., Vedaldi, A., and Zisserman, A · 2014
Closest in time.
DaLI: deformation and light invariant descriptor
Simo-Serra, E., Torras, C., and Moreno-Noguer, F · 2015
Closest in time.