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The Gestalt laws of perceptual organization, which describe how visual elements in an image are grouped and interpreted, have traditionally been thought of as innate despite their ecological validity.
Laws of organization in perceptual forms
Wertheimer, M. (1923) · 1923
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A visual motor gestalt test and its clinical use
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On a common circle: natural scenes and gestalt rules
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Ecological cue-validity of ’proximity’ and of other gestalt factors
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Spatial and temporal properties of illusory contours and amodal boundary completion
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Art, design and gestalt theory
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A common mechanism for illusory and occluded object completion
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Collinearity and parallelism are statistically significant second-order relations of complex cell responses
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Early completion of occluded objects
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Gestalt theory reconfigured: Max wertheimer’s anticipation of recent developments in visual neuroscience
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Deriving behavioural receptive fields for visually completed contours
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Edge co-occurrence in natural images predicts contour grouping performance
Geisler, W. S., Perry, J. S., Super, B. J., and Gallogly, D. P. (2001) · 2001
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Ecological statistics of gestalt laws for the perceptual organization of contours
Elder, J. H. and Goldberg, R. M. (2002) · 2002
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Eperience-dependent perceptual grouping and object-based attention
Zemel, R. S., Behrmann, M., Mozer, M. C., and Bavelier, D. (2002) · 2002
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Learning a classification model for segmentation
How transferable are features in deep neural networks?
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A history of modern psychology
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An overview of quantitative approaches in gestalt perception
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Increased alpha band activity indexes inhibitory competition across a border during figure assignment
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Rethinking the Inception architecture for computer vision
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Filling-in models of completion: Rejoinder to kellman, garrigan, shipley, and keane (2007) and albert (2007)
Anderson, B. L. (2007) · 2007
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From gestalt theory to image analysis: a probabilistic approach
Desolneux, A., Moisan, L., and Morel, J.-M. (2007) · 2007
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Applied multivariate statistical analysis
Härdle, W. and Simar, L. (2007) · 2007
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Representational similarity analysis-connecting the branches of systems neuroscience
Kriegeskorte, N., Mur, M., and Bandettini, P. A. (2008) · 2008
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The diffusion decision model: theory and data for two-choice decision tasks
Ratcliff, R. and McKoon, G. (2008) · 2008
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Gestalt principles
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Understanding deep learning requires rethinking generalization
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Why does deep and cheap learning work so well?
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Recurrent convolutional neural networks: A better model of biological object recognition
Spoerer, C. J., McClure, P., and Kriegeskorte, N. (2017) · 2017
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Deep convolutional networks do not perceive illusory contours
Baker, N., Kellman, P. J., Erlikhman, G., and Lu, H. (2018) · 2018
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Do better ImageNet models transfer better?
Kornblith, S., Shlens, J., and Le, Q. V. (2018) · 2018
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Adapted deep embeddings: A synthesis of methods for k-shot inductive transfer learning
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Deep image prior
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Statistical learning research: A critical review and possible new directions
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Past experience and meaning affect object detection: A hierarchical bayesian approach
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Self-training with noisy student improves imagenet classification
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