Fetching the paper…
Reading the bibliography…
This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning.
Pattern spotting in historical documents using convolutional models, in: arXiv:1906.08580
Úbeda, I., Saavedra, J.M., Nicolas, S., Petitjean, C., Heutte, L., 2019 · 1906
Earlier work this paper cites.
Building a test collection for complex document information processing, in: 29th Annual Intl ACM SIGIR Conf, pp. 665–666
Lewis, D., Agam, G., Argamon, S., Frieder, O., Grossman, D., Heard, J., 2006 · 2006
Earlier work this paper cites.
Automatic document logo detection, in: 9th Intl Conf Doc Anal Recog, pp. 864–868
Zhu, G., Doermann, D., 2007 · 2007
Earlier work this paper cites.
Convolutional networks and applications in vision, in: Proc of ISCAS, Paris. pp. 253–256
Lecun, Y., Kavakcuoglu, K., Farabet, C., 2010 · 2010
Earlier work this paper cites.
Efficient logo retrieval through hashing shape context descriptors, in: 9th IAPR Intl Works Doc Anal Syst, pp. 215–222
Rusinol, M., Lladós, J., 2010 · 2010
Earlier work this paper cites.
Hogwild: A lock-free approach to parallelizing stochastic gradient descent, in: Adv Neural Inf Proc Syst 24, pp. 693–701
Recht, B., Re, C., Wright, S., Niu, F., 2011 · 2011
Earlier work this paper cites.
Logo retrieval in document images, in: 10th IAPR Intl Works Doc Anal Syst, pp. 135–139
Jain, R., Doermann, D., 2012 · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks, in: Adv Neural Inf Proc Syst
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
Earlier work this paper cites.
Improving logo spotting and matching for document categorization by a post-filter based on homography, in: 12th Intl Conf Doc Anal Recog, pp. 270–274
Le, V.P., Visani, M., Tran, C.D., Ogier, J.M., 2013 · 2013
Earlier work this paper cites.
Selective search for object recognition
Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T., Smeulders, A.W.M., 2013 · 2013
Earlier work this paper cites.
Neural codes for image retrieval, in: Europ Conf Comp Vision, pp. 584–599
Babenko, A., Slesarev, A., Chigorin, A., Lempitsky, V., 2014 · 2014
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T., 2014 · 2014
Cited alongside, same era.
Document retrieval based on logo spotting using key-point matching, in: 22nd Intl Conf Patt Recog, pp. 3056–3061
Le, V.P., Nayef, N., Visani, M., Ogier, J.M., Tran, C.D., 2014 · 2014
Cited alongside, same era.
Optimal decisions from probabilistic models: the intersection-over-union case, in: Comp Vision Patt Recog Conf
Nowozin, S., 2014 · 2014
Cited alongside, same era.
Aggregating local deep features for image retrieval, in: IEEE Intl Conf Comp Vision
Babenko, A., Lempitsky, V., 2015 · 2015
Cited alongside, same era.
Siamese neural networks for one-shot image recognition, in: ICML 2015 Deep Learning Works
Koch, G., Zemel, R., Salakhutdinov, R., 2015 · 2015
Cited alongside, same era.
Deep image retrieval: Learning global representations for image search, in: 14th Europ Conf Comp Vision, pp. 241–257
Gordo, A., Almazán, J., Revaud, J., Larlus, D., 2016 · 2016
Later among the works it cites.
Siamese network features for image matching, in: Intl Conf Patt Recogn, pp. 378–383
Melekhov, I., Kannala, J., Rahtu, E., 2016 · 2016
Later among the works it cites.
Learning deep representations of medical images using siamese cnns with application to content-based image retrieval, in: NIPS 2017 Works Mach Learn for Health
Chung, Y.A., Weng, W.H., 2017 · 2017
Later among the works it cites.
Learning effective binary descriptors via cross entropy, in: IEEE Winter Conf Appl Comp Vision, pp. 1251–1258
Liu, L., Qi, H., 2017 · 2017
Later among the works it cites.
An efficient semantic – related image retrieval method
Thuy, Q.D.T., Huu, Q.N., Van, C.P., Quoc, T.N., 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Facenet: A unified embedding for face recognition and clustering, in: IEEE Conf Comp Vision Patt Recog, pp. 815–823
Schroff, F., Kalenichenko, D., Philbin, J., 2015 · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition, in: 5th Intl Conf Learn Repres
Simonyan, K., Zisserman., A., 2015 · 2015
Cited alongside, same era.
Going depper with convolutions, in: Comp Vision Patt Recog
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A., 2015 · 2015
Cited alongside, same era.
Exploiting local features from deep networks for image retrieval, in: IEEE Conf Comp Vision Patt Recog, pp. 53–61
Yue-Hei, J., Yang, N.F., Davis, L.S., 2015 · 2015
Cited alongside, same era.
Zhuang, F., Cheng, X., Luo, P., Pan, S.J., He, Q., 2015 · 2015
Cited alongside, same era.
New public dataset for spotting patterns in medieval document images
En, S., Nicolas, S., Petitjean, C., Jurie, F., Heutte, L., 2016a
Cited in the paper.
A scalable pattern spotting system for historical documents
En, S., Petitjean, C., Nicolas, S., Heutte, L., 2016b
Cited in the paper.
Large-scale image retrieval with supervised sparse hashing
Xu, Y., Shen, F., Xu, X., Gao, L., Wang, Y., Tan, X., 2017 · 2017
Later among the works it cites.
Class-balanced siamese neural networks
Berlemont, S., Lefebvre, G., Duffner, S., Garcia, C., 2018 · 2018
Later among the works it cites.
Document image retrieval using deep features, in: Intl Joint Conf Neural Networks, Rio de Janeiro. pp. 3185–3192
Wiggers, K.L., Britto Jr., A.S., Koerich, A.L., Heutte, L., Oliveira, L.E.S., 2018 · 2018
Later among the works it cites.
Image retrieval and pattern spotting using siamese neural network, in: Intl Joint Conf Neural Networks, Budapest. pp. 1–10
Wiggers, K.L., Britto Jr., A.S., Koerich, A.L., Heutte, L., Oliveira, L.E.S., 2019 · 2019
Closest in time.
Pattern localization in historical document images via template matching, in: 23rd Intl Conf Patt Recog, pp. 2054–2059
En, S., Petitjean, C., Nicolas, S., Heutte, L., Jurie, F., 2016c · 2059
Closest in time.