Results 11 to 20 of about 9,700,127 (369)
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds [PDF]
arXiv, 2019 In this work, we propose Dilated Point Convolutions (DPC). In a thorough ablation study, we show that the receptive field size is directly related to the performance of 3D point cloud processing tasks, including semantic segmentation and object classification.
Francis Engelmann +2 more
arxiv +2 more sources
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition [PDF]
arXiv, 2023 Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF). We argue that these models are not always the best choice for temporal modeling in videos. A large temporal receptive field allows the model to encode the exact sub-action order of a video, which causes a ...
Liu, Xin +3 more
arxiv +2 more sources
Receptive Field Block Net for Accurate and Fast Object Detection
European Conference on Computer Vision, 2018 Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs. Conversely, some lightweight model based detectors
Brian A. Wandell +9 more
core +2 more sources
PLoS Computational Biology, 2013 Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields.
Jonathan J Hunt +2 more
doaj +2 more sources
eLife, 2018 Antagonistic receptive field surrounds are a near-universal property of early sensory processing. A key assumption in many models for retinal ganglion cell encoding is that receptive field surrounds are added only to the fully formed center signal.
Maxwell H Turner +2 more
doaj +2 more sources
Normative theory of visual receptive fields [PDF]
Substantially revised version in Heliyon 7(1): e05897: 1-20, 2021, 2017 This article gives an overview of a normative computational theory of visual receptive fields, by which idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in an axiomatic way based on structural properties of the environment in combination with assumptions about the internal structure of a
arxiv +8 more sources
The spatial structure of a nonlinear receptive field [PDF]
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 ...
Dunn, Felice +7 more
semanticscholar +5 more sources
qPRF: A system to accelerate population receptive field modeling [PDF]
NeuroImageBOLD response can be fitted using the population receptive field (PRF) model to reveal how visual input is represented on the cortex (Dumoulin and Wandell, 2008). Fitting the PRF model costs considerable time, often requiring days to analyze BOLD signals
Sebastian Waz, Yalin Wang, Zhong-Lin Lu
doaj +2 more sources
A population receptive field model of the magnetoencephalography response [PDF]
NeuroImage, 2021 Computational models which predict the neurophysiological response from experimental stimuli have played an important role in human neuroimaging. One type of computational model, the population receptive field (pRF), has been used to describe cortical ...
Eline R. Kupers +6 more
doaj +2 more sources
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection [PDF]
European Conference on Computer Vision, 2022 Detecting tiny objects is one of the main obstacles hindering the development of object detection. The performance of generic object detectors tends to drastically deteriorate on tiny object detection tasks.
Chang Xu +5 more
semanticscholar +1 more source