On the locality of local neural operator in learning fluid dynamics [PDF]
arXiv, 2023 This paper launches a thorough discussion on the locality of local neural operator (LNO), which is the core that enables LNO great flexibility on varied computational domains in solving transient partial differential equations (PDEs). We investigate the locality of LNO by looking into its receptive field and receptive range, carrying a main concern ...
arxiv
Receptive fields of single neurones in the cat's striate cortex
Journal of Physiology, 1959 In the central nervous system the visual pathway from retina to striate cortex provides an opportunity to observe and compare single unit responses at several distinct levels. Patterns of light stimuli most effective in influencing units at one level may
D. Hubel, T. Wiesel
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A Computational Study Of The Role Of Spatial Receptive Field Structure In Processing Natural And Non-Natural Scenes [PDF]
, 2018 The center-surround receptive field structure, ubiquitous in the visual system, is hypothesized to be evolutionarily advantageous in image processing tasks.
Barranca, Victor J., Zhu, G.
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Beyond spatial pyramids: Receptive field learning for pooled image features
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms usually use manually defined spatial regions for pooling, we show that learning ...
Yangqing Jia +2 more
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The spatial structure of a nonlinear receptive field
Nature Neuroscience, 2012 Understanding a sensory system implies the ability to predict responses to a variety of inputs from a common model. In the retina, this includes predicting how the integration of signals across visual space shapes the outputs of retinal ganglion cells ...
semanticscholar +1 more source
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions [PDF]
arXiv, 2020 In this work, we demonstrate that receptive fields in 3D pose estimation can be effectively specified using optical flow. We introduce adaptive receptive fields, a simple and effective method to aid receptive field selection in pose estimation models based on optical flow inference.
arxiv
Reconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks [PDF]
arXiv, 2021 An important issue in dealing with Deep Convolutional Neural Networks (DCNN) is the 'black box problem', which represents the unknowns about internal information representation and processing, especially in the middle and higher layers. In this study, we adopted a systems neuroscience methodology to measure the visual feature selectivity and visualize ...
arxiv
Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae [PDF]
arXiv, 2019 Segmentation of objects with various sizes is relatively less explored in medical imaging, and has been very challenging in computer vision tasks in general. We hypothesize that the receptive field of a deep model corresponds closely to the size of object to be segmented, which could critically influence the segmentation accuracy of objects with varied
arxiv
Pooling Revisited: Your Receptive Field is Suboptimal [PDF]
arXiv, 2022 The size and shape of the receptive field determine how the network aggregates local information and affect the overall performance of a model considerably. Many components in a neural network, such as kernel sizes and strides for convolution and pooling operations, influence the configuration of a receptive field.
arxiv
An improved multi-dimensional CMAC neural network: Receptive field function and placement [PDF]
, 1991 The standard CMAC has been shown to have fast learning computation as a result of modular receptive field placement, rectangular receptive field shape and a simple weight adaptation algorithm.
An, Pak-Cheung Edgar
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