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Object proposals have quickly become the de-facto pre-processing step in a number of vision pipelines (for object detection, object discovery, and other tasks).
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, “The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results.” http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html
2007
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G. Heitz and D. Koller, “Learning spatial context: Using stuff to find things,” in
2008
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P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, “Object detection with discriminatively trained part based models,”
2010
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M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, “The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results.” http://www.pascal-network.org/challenges/VOC/voc2010/workshop/index.html
2010
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E. Rahtu, J. Kannala, and M. B. Blaschko, “Learning a category independent object detection cascade,” in
2011
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J. Sun and H. Ling, “Scale and object aware image retargeting for thumbnail browsing,” in
2011
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B. Alexe, T. Deselaers, and V. Ferrari, “Measuring the objectness of image windows,”
2012
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J. Carreira and C. Sminchisescu, “CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts,”
2012
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P. Arbelaez, B. Hariharan, C. Gu, S. Gupta, L. D. Bourdev, and J. Malik, “Semantic segmentation using regions and parts.,” in
2012
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J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu, “Semantic segmentation with second-order pooling,” in
2012
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T. Deselaers, B. Alexe, and V. Ferrari, “Weakly supervised localization and learning with generic knowledge,”
2012
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R. G. Cinbis and S. Sclaroff, “Contextual object detection using set-based classification,” in
2012
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A. Prest, C. Schmid, and V. Ferrari, “Weakly supervised learning of interactions between humans and objects,”
2012
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F. Sener, C. Bas, and N. Ikizler-Cinbis, “On recognizing actions in still images via multiple features,” in
2012
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P. K. Nathan Silberman, Derek Hoiem and R. Fergus, “Indoor segmentation and support inference from rgbd images,” in
2012
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S. Manen, M. Guillaumin, and L. Van Gool, “Prime object proposals with randomized prim’s algorithm,” in
2013
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J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders, “Selective search for object recognition,”
2013
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2013
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X. Wang, M. Yang, S. Zhu, and Y. Lin, “Regionlets for generic object detection,” in
2013
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R. G. Cinbis, J. Verbeek, and C. Schmid, “Segmentation Driven Object Detection with Fisher Vectors,” in
2013
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2013
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M. Rubinstein, A. Joulin, J. Kopf, and C. Liu, “Unsupervised joint object discovery and segmentation in internet images.,” in
2013
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M. Lin, Q. Chen, and S. Yan, “Network in network,”
2013
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2013
Cited alongside, same era.
2013
Cited alongside, same era.
C. L. Zitnick and P. Dollar, “Edge boxes: Locating object proposals from edges,” in
2014
Cited alongside, same era.
I. Endres and D. Hoiem, “Category-independent object proposals with diverse ranking,”
2014
Cited alongside, same era.
P. Arbeláez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik, “Multiscale combinatorial grouping,” in
2014
Cited alongside, same era.
Y. Zhu, R. Urtasun, R. Salakhutdinov, and S. Fidler, “segdeepm: Exploiting segmentation and context in deep neural networks for object detection,” in
2015
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S. He and R. W. Lau, “Oriented object proposals,” in
2015
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J. Dai, K. He, and J. Sun, “Convolutional feature masking for joint object and stuff segmentation.,” in
2015
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Y. Zhang, X. Chen, J. Li, C. Wang, and C. Xia, “Semantic object segmentation via detection in weakly labeled video,” in
2015
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2015
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P. Rantalankila, J. Kannala, and E. Rahtu, “Generating object segmentation proposals using global and local search,” in
2014
Cited alongside, same era.
A. Humayun, F. Li, and J. M. Rehg, “Rigor- recycling inference in graph cuts for generating object regions,” in
2014
Cited alongside, same era.
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. Torr, “Bing: Binarized normed gradients for objectness estimation at 300fps,” in
2014
Cited alongside, same era.
P. Krähenbühl and V. Koltun, “Geodesic object proposals,” in
2014
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Spatial pyramid pooling in deep convolutional networks for visual recognition,”
2014
Cited alongside, same era.
C. Szegedy, S. Reed, D. Erhan, and D. Anguelov, “Scalable, high-quality object detection,”
2014
Cited alongside, same era.
2014
Cited alongside, same era.
C. Kading, A. Freytag, E. Rodner, P. Bodesheim, and J. Denzler, “Active learning and discovery of object categories in the presence of unnameable instances,” in
2015
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2015
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2015
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P. Krahenbuhl and V. Koltun, “Learning to propose objects,” June 2015
2015
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H. Kang, M. Hebert, A. A. Efros, and T. Kanade, “Data-driven objectness,”
2015
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W. Kuo, B. Hariharan, and J. Malik, “Deepbox: Learning objectness with convolutional networks,” 2015
2015
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A. Ghodrati, A. Diba, M. Pedersoli, T. Tuytelaars, and L. Van Gool, “Deepproposal: Hunting objects by cascading deep convolutional layers,” in
2015
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P. O. Pinheiro, R. Collobert, and P. Dollár, “Learning to segment object candidates,”
2015
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X. Chen, H. Ma, X. Wang, and Z. Zhao, “Improving object proposals with multi-thresholding straddling expansion,” in
2015
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C. Wang, L. Zhao, S. Liang, L. Zhang, J. Jia, and Y. Wei, “Object proposal by multi-branch hierarchical segmentation,” in
2015
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G. Yu and J. Yuan, “Fast action proposals for human action detection and search,” in
2015
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I. Misra, A. Shrivastava, and M. Hebert, “Watch and learn: Semi-supervised learning for object detectors from video,” in
2015
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Z. Wu, F. Li, R. Sukthankar, and J. M. Rehg, “Robust video segment proposals with painless occlusion handling,” in
2015
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D. Banica and C. Sminchisescu, “Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in rgb-d images,” in
2015
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J. Hosang, R. Benenson, P. Dollár, and B. Schiele, “What makes for effective detection proposals?,”
2015
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J. Pont-Tuset and L. Van Gool, “Boosting object proposals: From pascal to coco,” in
2015
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P. Krähenbühl and V. Koltun, “Learning to propose objects,” in
2015
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