R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua et al., Slic superpixels compared to stateof-the-art superpixel methods. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.11, pp.2274-2282, 2012.

M. Bjorkman and D. Kragic, Combination of foveal and peripheral vision for object recognition and pose estimation, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, pp.5135-5140, 2004.
DOI : 10.1109/ROBOT.2004.1302532

M. Björkman and D. Kragic, Active 3D scene segmentation and detection of unknown objects, 2010 IEEE International Conference on Robotics and Automation, pp.3114-3120, 2010.
DOI : 10.1109/ROBOT.2010.5509973

A. Borji and L. Itti, State-of-the-art in visual attention modeling. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.35, issue.20, pp.185-207, 2013.

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

Z. Bylinskii, T. Judd, F. Durand, A. Oliva, and A. Torralba, Mit saliency benchmark

M. José, M. Cañas, T. Martínez-de-la-casa, and . González, An overt visual attention mechanism based on saliency dynamics, International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol.2, issue.2, pp.93-100, 2008.

A. Ciptadi, T. Hermans, M. James, and . Rehg, An In Depth View of Saliency, Procedings of the British Machine Vision Conference 2013, pp.9-13, 2013.
DOI : 10.5244/C.27.112

E. Erdem and A. Erdem, Visual saliency estimation by nonlinearly integrating features using region covariances, Journal of Vision, vol.13, issue.4, p.11, 2013.
DOI : 10.1167/13.4.11

URL : http://doi.org/10.1167/13.4.11

J. Harel, C. Koch, and P. Perona, Graph-based visual saliency, Advances in neural information processing systems, pp.545-552, 2006.

X. Hou, J. Harel, and C. Koch, Image signature : Highlighting sparse salient regions . Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.1, pp.194-201, 2012.

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.
DOI : 10.1109/34.730558

T. Kollar and N. Roy, Utilizing object-object and object-scene context when planning to find things, 2009 IEEE International Conference on Robotics and Automation, pp.2168-2173, 2009.
DOI : 10.1109/ROBOT.2009.5152831

K. Lai, L. Bo, X. Ren, and D. Fox, A large-scale hierarchical multi-view rgbd object dataset, Robotics and Automation (ICRA), 2011 IEEE International Conference on, pp.1817-1824, 2011.

P. L. Olivier-le-meur, D. Callet, and . Barba, Predicting visual fixations on video based on low-level visual features, Vision Research, vol.47, issue.19, pp.2483-2498, 2007.
DOI : 10.1016/j.visres.2007.06.015

J. Li, Y. Tian, and T. Huang, Visual Saliency with Statistical Priors, International Journal of Computer Vision, vol.12, issue.6, pp.239-253, 2014.
DOI : 10.1007/s11263-013-0678-0

P. Oudeyer, F. Kaplan, and V. V. Hafner, Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation, vol.11, issue.2, pp.265-286, 2007.
DOI : 10.1109/TEVC.2006.890271

H. Peng, B. Li, W. Xiong, W. Hu, and R. Ji, RGBD Salient Object Detection: A Benchmark and Algorithms, Computer Vision?ECCV 2014, pp.92-109, 2014.
DOI : 10.1007/978-3-319-10578-9_7

A. Richtsfeld, T. Morwald, J. Prankl, M. Zillich, and M. Vincze, Segmentation of unknown objects in indoor environments, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4791-4796, 2012.
DOI : 10.1109/IROS.2012.6385661

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., Imagenet large scale visual recognition challenge. arXiv preprint, 2014.
DOI : 10.1007/s11263-015-0816-y

URL : http://arxiv.org/abs/1409.0575

E. Vig, M. Dorr, and D. Cox, Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.358

P. Viola and M. Jones, Robust real-time object detection, International Journal of Computer Vision, vol.4, pp.34-47, 2001.

J. Zhang and S. Sclaroff, Saliency Detection: A Boolean Map Approach, 2013 IEEE International Conference on Computer Vision, pp.153-160, 2013.
DOI : 10.1109/ICCV.2013.26

Q. Zhao and C. Koch, Learning a saliency map using fixated locations in natural scenes, Journal of Vision, vol.11, issue.3, p.9, 2011.
DOI : 10.1167/11.3.9