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Microsoft research cambridge object recognition image database
Lee, Y.J., Grauman, K., 2005 · 2005
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Discovering objects and their location in images, in: ICCV, Tenth International Conference on, IEEE. pp. 370–377
Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T., 2005 · 2005
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Sensecam: A retrospective memory aid, in: UbiComp 2006: Ubiquitous Computing. Springer, pp. 177–193
Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., Wood, K., 2006 · 2006
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories, in: CVPR, Computer Society Conference on, IEEE. pp. 2169–2178
Lazebnik, S., Schmid, C., Ponce, J., 2006 · 2006
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Using multiple segmentations to discover objects and their extent in image collections, in: CVPR, Computer Society Conference on, IEEE. pp. 1605–1614
Russell, B.C., Freeman, W.T., Efros, A.A., Sivic, J., Zisserman, A., 2006 · 2006
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Unsupervised image categorization and object localization using topic models and correspondences between images, in: ICCV, 11th International Conference on, IEEE. pp. 1–7
Liu, D., Chen, T., 2007 · 2007
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Labelme: a database and web-based tool for image annotation
Russell, B.C., Torralba, A., Murphy, K.P., Freeman, W.T., 2008 · 2008
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A systematic analysis of performance measures for classification tasks
Sokolova, M., Lapalme, G., 2009 · 2009
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What is an object?, in: CVPR, Conference on, IEEE. pp. 73–80
Alexe, B., Deselaers, T., Ferrari, V., 2010 · 2010
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Unsupervised object discovery: A comparison
Tuytelaars, T., Lampert, C.H., Blaschko, M.B., Buntine, W., 2010 · 2010
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Semi-supervised object recognition using flickr images, in: CBMI, 2011 9th International Workshop on, IEEE. pp. 229–234
Chatzilari, E., Nikolopoulos, S., Papadopoulos, S., Zigkolis, C., Kompatsiaris, Y., 2011 · 2011
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Learning to recognize objects in egocentric activities, in: CVPR, 2011 IEEE Conference On, IEEE. pp. 3281–3288
Fathi, A., Ren, X., Rehg, J.M., 2011 · 2011
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Discovering object instances from scenes of daily living, in: Computer Vision (ICCV), 2011 IEEE International Conference on, IEEE. pp. 762–769
Kang, H., Hebert, M., Kanade, T., 2011 · 2011
Cited alongside, same era.
Learning the easy things first: Self-paced visual category discovery, in: CVPR, Conference on, IEEE. pp. 1721–1728
Lee, Y.J., Grauman, K., 2011 · 2011
Cited alongside, same era.
Introduction to data mining
Tan, P., Steinbach, M.K., 2011 · 2011
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Selective search for object recognition
Uijlings, J.R., van de Sande, K.E., Gevers, T., Smeulders, A.W., 2013 · 2013
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Multiscale combinatorial grouping, CVPR
Arbeláez, P., Pont-Tuset, J., Barron, J.T., Marques, F., Malik, J., 2014 · 2014
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Bing: Binarized normed gradients for objectness estimation at 300fps, in: IEEE CVPR
Cheng, M.M., Zhang, Z., Lin, W.Y., Torr, P., 2014 · 2014
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Multi-digit number recognition from street view imagery using deep convolutional neural networks
Goodfellow, I.J., Bulatov, Y., Ibarz, J., Arnoud, S., Shet, V., 2014 · 2014
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Efficient retrieval from large-scale egocentric visual data using a sparse graph representation, in: CVPRW, 2014 Conference on, IEEE. pp. 541–548
Min, W., Li, X., Tan, C., Mandal, B., Li, L., Lim, J.H., 2014 · 2014
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The pascal visual object classes challenge 2012 (VOC2012) results
Everingham, M., Van Gool, L., Williams, C., Winn, J., Zisserman, A., 2012 · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks, in: NIPS, pp. 1097–1105
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
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Caffe: An open source convolutional architecture for fast feature embedding
Jia, Y., 2013 · 2013
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Wearable computers challenge human rights
Michael, K., 2013 · 2013
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Unsupervised object discovery and segmentation in videos, in: Proceedings on BMVA, BMVA Press. pp. 53.1–53.12
Schulter, S., Leistner, C., Roth, P., Bischof, H., 2013 · 2013
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The evolution of first person vision methods: A survey
Betancourt, A., Morerio, P., Regazzoni, C.S., Rauterberg, M.,
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
Honglak, L., Roger, G., Rajesh, R., Andrew Y., N., 2009a
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Experiments on an RGB-D wearable vision system for egocentric activity recognition
Moghimi, M., Azagra, P., Montesano, L., Murillo, A.C., Belongie, S., 2014 · 2014
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Object discovery using cnn features in egocentric videos, in: Iberian Conference on Pattern Recognition and Image Analysis (in press). Springer
Bolaños, M., Garolera, M., Radeva, P., 2015 · 2015
Closest in time.
Cho, M., Kwak, S., Schmid, C., Ponce, J., 2015 · 2015
Closest in time.
Active learning and discovery of object categories in the presence of unnameable instances, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4343–4352
Kading, C., Freytag, A., Rodner, E., Bodesheim, P., Denzler, J., 2015 · 2015
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