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This paper introduces a new algorithm for unsupervised learning of keypoint detectors and descriptors, which demonstrates fast convergence and good performance across different datasets.
Superglue: Learning feature matching with graph neural networks
Sarlin, P.E., DeTone, D., Malisiewicz, T., Rabinovich, A., 2019 · 1911
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Rosten, E., Drummond, T., 2006 · 2006
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From structure-from-motion point clouds to fast location recognition, in: 2009 IEEE Conference on Computer Vision and Pattern Recognition, IEEE. pp. 2599–2606
Irschara, A., Zach, C., Frahm, J.M., Bischof, H., 2009 · 2009
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Robust interest point detector and descriptor
Funayama, R., Yanagihara, H., Van Gool, L., Tuytelaars, T., Bay, H., 2012 · 2012
Cited alongside, same era.
Rectifier nonlinearities improve neural network acoustic models, in: Proc. icml, p. 3
Maas, A.L., Hannun, A.Y., Ng, A.Y., 2013 · 2013
Cited alongside, same era.
Microsoft coco: Common objects in context, in: European conference on computer vision, Springer. pp. 740–755
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L., 2014 · 2014
Cited alongside, same era.
Fire: fundus image registration dataset
Hernandez-Matas, C., Zabulis, X., Triantafyllou, A., Anyfanti, P., Douma, S., Argyros, A.A., 2017 · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Loshchilov, I., Hutter, F., 2017 · 2017
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 224–236
DeTone, D., Malisiewicz, T., Rabinovich, A., 2018 · 2018
Later among the works it cites.
Unsupervised learning of object landmarks through conditional image generation, in: Advances in Neural Information Processing Systems, pp. 4016–4027
Jakab, T., Gupta, A., Bilen, H., Vedaldi, A., 2018 · 2018
Later among the works it cites.
Lf-net: learning local features from images, in: Advances in neural information processing systems, pp. 6234–6244
Ono, Y., Trulls, E., Fua, P., Yi, K.M., 2018 · 2018
Later among the works it cites.
Unsupervised learning of object keypoints for perception and control, in: Advances in Neural Information Processing Systems, pp. 10723–10733
Kulkarni, T.D., Gupta, A., Ionescu, C., Borgeaud, S., Reynolds, M., Zisserman, A., Mnih, V., 2019 · 2019
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Distillation of neural network models for detection and description of key points of images
Yashenko, A., Belikov, A., Peterson, M., Potapov, A.,
Cited in the paper.
Truong, P., Apostolopoulos, S., Mosinska, A., Stucky, S., Ciller, C., Zanet, S.D., 2019 · 2019
Later among the works it cites.