Enhanced HMAX model with feedforward feature learning for multiclass categorization
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[1] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[2] Ali Borji,et al. Invariance analysis of modified C2 features: case study—handwritten digit recognition , 2009, Machine Vision and Applications.
[3] Joel Z. Leibo,et al. Learning invariant representations and applications to face verification , 2013, NIPS.
[4] Kunihiko Fukushima,et al. Neocognitron: A hierarchical neural network capable of visual pattern recognition , 1988, Neural Networks.
[5] E. Callaway,et al. Parallel colour-opponent pathways to primary visual cortex , 2003, Nature.
[6] Arnold W. M. Smeulders,et al. Visual dictionaries as intermediate features in the human brain , 2015, Front. Comput. Neurosci..
[7] Matthieu Cord,et al. Extended Coding and Pooling in the HMAX Model , 2013, IEEE Transactions on Image Processing.
[8] J. Theeuwes. Top-down and bottom-up control of visual selection. , 2010, Acta psychologica.
[9] S. Kastner,et al. Stimulus context modulates competition in human extrastriate cortex , 2005, Nature Neuroscience.
[10] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[11] F. Qiu,et al. Figure and Ground in the Visual Cortex: V2 Combines Stereoscopic Cues with Gestalt Rules , 2005, Neuron.
[12] Christof Koch,et al. Attentional Selection for Object Recognition - A Gentle Way , 2002, Biologically Motivated Computer Vision.
[13] V. Kshirsagar,et al. Face recognition using Eigenfaces , 2011, 2011 3rd International Conference on Computer Research and Development.
[14] J. Lund,et al. Intrinsic laminar lattice connections in primate visual cortex , 1983, The Journal of comparative neurology.
[15] Robert W. G. Hunt,et al. The reproduction of colour , 1957 .
[16] L Weiskrantz,et al. Color contrast processing in human striate cortex , 2007, Proceedings of the National Academy of Sciences.
[17] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[18] M. Goodale,et al. Two visual systems re-viewed , 2008, Neuropsychologia.
[19] Xuelong Li,et al. Biologically Inspired Features for Scene Classification in Video Surveillance , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[20] Alexei A. Efros,et al. Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.
[21] W. Merigan,et al. Basic visual capacities and shape discrimination after lesions of extrastriate area V4 in macaques , 1996, Visual Neuroscience.
[22] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[23] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Xuelong Li,et al. Enhanced Biologically Inspired Model for Object Recognition , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[25] Leslie G. Ungerleider,et al. Microsaccadic eye movements and firing of single cells in the striate cortex of macaque monkeys , 2000, Nature Neuroscience.
[26] T. Tuytelaars,et al. Speeded-UpRobustFeatures(SURF) , 2008 .
[27] C. Koch,et al. Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.
[28] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Paul Wright,et al. Objects and Categories: Feature Statistics and Object Processing in the Ventral Stream , 2013, Journal of Cognitive Neuroscience.
[30] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] J. D. Mollon,et al. The comparison of spatially separated colours , 2006, Vision Research.
[32] N. Kanwisher,et al. Location and spatial profile of category‐specific regions in human extrastriate cortex , 2006, Human brain mapping.
[33] Fengfu Li,et al. Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment , 2015, IEEE Transactions on Cybernetics.
[34] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[35] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[36] David G. Lowe,et al. Multiclass Object Recognition with Sparse, Localized Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[37] Wieske van Zoest,et al. Effects of Salience Are Short-Lived , 2008, Psychological science.
[38] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[39] V. Lamme,et al. The distinct modes of vision offered by feedforward and recurrent processing , 2000, Trends in Neurosciences.
[40] Jonathon Shlens,et al. Spatial Properties and Functional Organization of Small Bistratified Ganglion Cells in Primate Retina , 2007, The Journal of Neuroscience.
[41] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[42] Sinan Kalkan,et al. Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[44] H. Müller,et al. Stimulus Saliency Modulates Pre-Attentive Processing Speed in Human Visual Cortex , 2011, PloS one.
[45] E. Callaway,et al. Parallel processing strategies of the primate visual system , 2009, Nature Reviews Neuroscience.
[46] Bevil R. Conway,et al. Color Vision, Cones, and Color-Coding in the Cortex , 2009, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[47] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[48] D. Hubel,et al. Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey. , 1966, Journal of neurophysiology.
[49] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[50] H. Conklin,et al. Color Categorization: Basic Color Terms: Their Universality and Evolution . Brent Berlin, Paul Kay. , 1973 .
[51] Sabine Süsstrunk,et al. Frequency-tuned salient region detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[52] Binoy Pinto,et al. Speeded Up Robust Features , 2011 .
[53] C. Gross. Single neuron studies of inferior temporal cortex , 2008, Neuropsychologia.
[54] Á. Pascual-Leone,et al. Fast Backprojections from the Motion to the Primary Visual Area Necessary for Visual Awareness , 2001, Science.
[55] M. López-Aranda,et al. Role of Layer 6 of V2 Visual Cortex in Object-Recognition Memory , 2009, Science.
[56] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[57] Zhaoping Li,et al. Neural Activities in V1 Create a Bottom-Up Saliency Map , 2012, Neuron.
[58] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] T. Wiesel,et al. Clustered intrinsic connections in cat visual cortex , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[60] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[61] P. Kay,et al. Basic Color Terms: Their Universality and Evolution , 1973 .
[62] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[63] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[64] H. Komatsu,et al. Relationship between color discrimination and neural responses in the inferior temporal cortex of the monkey. , 2008, Journal of neurophysiology.
[65] Hong Qiao,et al. Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model , 2014, IEEE Transactions on Cybernetics.
[66] D. Hubel,et al. Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.
[67] O. D. Creutzfeldt,et al. A quantitative study of chromatic organisation and receptive fields of cells in the lateral geniculate body of the rhesus monkey , 1979, Experimental Brain Research.
[68] Hermann J. Müller,et al. Perceptual Basis of Redundancy Gains in Visual Pop-out Search , 2011, Journal of Cognitive Neuroscience.