Cargando…

Learning view invariant recognition with partially occluded objects

This paper investigates how a neural network model of the ventral visual pathway, VisNet, can form separate view invariant representations of a number of objects seen rotating together. In particular, in the current work one of the rotating objects is always partially occluded by the other objects p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tromans, James M., Higgins, Irina, Stringer, Simon M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2012
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3404435/ https://www.ncbi.nlm.nih.gov/pubmed/22848200 http://dx.doi.org/10.3389/fncom.2012.00048

Ejemplares similares

Exploiting temporal continuity of views to learn visual object invariance
por: Bart, Evgeniy, et al.
Publicado: (2013)

Dynamic representation of partially occluded objects in primate prefrontal and visual cortex
por: Fyall, Amber M, et al.
Publicado: (2017)

Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
por: Chuang, Lewis L., et al.
Publicado: (2012)

Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning
por: Rolls, Edmund T.
Publicado: (2021)

Invariant object recognition based on extended fragments
por: Bart, Evgeniy, et al.
Publicado: (2012)

Neural Representations that Support Invariant Object Recognition
por: Goris, Robbe L. T., et al.
Publicado: (2009)

A chicken model for studying the emergence of invariant object recognition
por: Wood, Samantha M. W., et al.
Publicado: (2015)

Invariant Recognition of Visual Objects: Some Emerging Computational Principles
por: Bart, Evgeniy, et al.
Publicado: (2012)

Deformation-specific and deformation-invariant visual object recognition: pose vs. identity recognition of people and deforming objects
por: Webb, Tristan J., et al.
Publicado: (2014)

Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats
por: Rosselli, Federica B., et al.
Publicado: (2015)

Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties
por: Parker, Sarah M., et al.
Publicado: (2015)

Invariance in Visual Object Recognition Requires Training: A Computational Argument
por: Goris, Robbe L. T., et al.
Publicado: (2010)

Orientation Invariant Sensorimotor Object Recognition Using Cortical Grid Cells
por: Roux, Kalvyn, et al.
Publicado: (2022)

Object Recognition Can Be Viewpoint Dependent or Invariant – It's Just a Matter of Time and Task
por: Milivojevic, Branka
Publicado: (2012)

Simple and complex cells revisited: toward a selectivity-invariance model of object recognition
por: Li, Xin, et al.
Publicado: (2023)

Brain Functional Representation of Highly Occluded Object Recognition
por: Li, Bao, et al.
Publicado: (2023)

Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
por: Rolls, Edmund T.
Publicado: (2012)

Embodied Object Representation Learning and Recognition
por: Van de Maele, Toon, et al.
Publicado: (2022)

Learning and disrupting invariance in visual recognition with a temporal association rule
por: Isik, Leyla, et al.
Publicado: (2012)

Transformation-invariant visual representations in self-organizing spiking neural networks
por: Evans, Benjamin D., et al.
Publicado: (2012)

Invariance of object detection in untrained deep neural networks
por: Cheon, Jeonghwan, et al.
Publicado: (2022)

Recurrent processing improves occluded object recognition and gives rise to perceptual hysteresis
por: Ernst, Markus R., et al.
Publicado: (2021)

DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition
por: Hu, Yuhuang, et al.
Publicado: (2016)

Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
por: Brucklacher, Matthias, et al.
Publicado: (2023)

Invariant visual object recognition and shape processing in rats
por: Zoccolan, Davide
Publicado: (2015)

Invariant visual object recognition: biologically plausible approaches
por: Robinson, Leigh, et al.
Publicado: (2015)

Object recognition in clutter: cortical responses depend on the type of learning
por: Hegdé, Jay, et al.
Publicado: (2012)

Pregnancy, with Partially Occluded Vagina
por: Henriques, J. F.
Publicado: (1936)

Mechanisms of object recognition: what we have learned from pigeons
por: Soto, Fabian A., et al.
Publicado: (2014)

A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation
por: Sountsov, Pavel, et al.
Publicado: (2011)

Systems view on spatial planning and perception based on invariants in agent-environment dynamics
por: Mettler, Bérénice, et al.
Publicado: (2015)

Harmonic Training and the Formation of Pitch Representation in a Neural Network Model of the Auditory Brain
por: Ahmad, Nasir, et al.
Publicado: (2016)

Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity
por: Weber, Simon Nikolaus, et al.
Publicado: (2018)

Cholinergic regulation of object recognition memory
por: Okada, Kana, et al.
Publicado: (2022)

Robust tactile object recognition in open-set scenarios using Gaussian prototype learning
por: Zheng, Wendong, et al.
Publicado: (2022)

Breaking Object Correspondence Across Saccadic Eye Movements Deteriorates Object Recognition
por: Poth, Christian H., et al.
Publicado: (2015)

Neurophysiological correlates of object recognition in the dorsal subiculum
por: Chang, Eric H., et al.
Publicado: (2012)

Training Facilitates Object Recognition in Cubist Paintings
por: Wiesmann, Martin, et al.
Publicado: (2010)

Object recognition with hierarchical discriminant saliency networks
por: Han, Sunhyoung, et al.
Publicado: (2014)

A neuromorphic system for video object recognition
por: Khosla, Deepak, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_j5cp797bd3gfnr83ikgja56sfk