Semantic indoor scenes recognition based on visual saliency and part-based features
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Hirokazu Madokoro | Kazuhito Sato | Kyosuke Tokuhara | H. Madokoro | Kazuhito Sato | Kyosuke Tokuhara
[1] Hirokazu Madokoro,et al. Adaptive Category Mapping Networks for all-mode topological feature learning used for mobile robot vision , 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.
[2] R. Hecht-Nielsen. Counterpropagation networks. , 1987, Applied optics.
[3] Adrien Bartoli,et al. Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces , 2013, BMVC.
[4] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[5] Kurt Konolige,et al. Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[6] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[7] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[8] Ali Shokoufandeh,et al. View-based object recognition using saliency maps , 1999, Image Vis. Comput..
[9] S. Mills,et al. Speeded-up Bag-of-Words algorithm for robot localisation through scene recognition , 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.
[10] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[11] Bolei Zhou,et al. Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Ben H. H. Juurlink,et al. FPGA based hardware accelerator for KAZE feature extraction algorithm , 2016, 2016 International Conference on Field-Programmable Technology (FPT).
[13] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[14] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[15] Ali Borji,et al. State-of-the-Art in Visual Attention Modeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] P. Sterling,et al. How Much the Eye Tells the Brain , 2006, Current Biology.
[17] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[18] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.
[19] Christof Koch,et al. Modeling attention to salient proto-objects , 2006, Neural Networks.
[20] Nanning Zheng,et al. Learning to Detect a Salient Object , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Sanja Fidler,et al. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[23] Antonio Torralba,et al. Recognizing indoor scenes , 2009, CVPR.
[24] Adrien Bartoli,et al. KAZE Features , 2012, ECCV.
[25] Barbara Caputo,et al. Indoor Scene Recognition using Task and Saliency-driven Feature Pooling , 2012, BMVC.
[26] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.