Results 71 to 80 of about 9,662,134 (136)
Semantic segmentation of point clouds generates comprehensive understanding of scenes through densely predicting the category for each point. Due to the unicity of receptive field, semantic segmentation of point clouds remains challenging for the ...
Chen, Kaiqiang+6 more
core
Visual Receptive Field Properties of Neurons in the Superficial Superior Colliculus of the Mouse
The mouse is a promising model in the study of visual system function and development because of available genetic tools. However, a quantitative analysis of visual receptive field properties had not been performed in the mouse superior colliculus (SC ...
Lupeng Wang+4 more
semanticscholar +1 more source
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks [PDF]
We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output must respond to large enough areas in the image to capture information about large objects.
arxiv
The Role Of The Receptive Field Structure In Neuronal Compressive Sensing Signal Processing [PDF]
The receptive field structure ubiquitous in the visual system is believed to play a crucial role in encoding stimulus characteristics, such as contrast and spectral composition.
Barranca, Victor J.+1 more
core +1 more source
Receptive‐field properties of V1 and V2 neurons in mice and macaque monkeys
We report the results of extracellular single‐unit recording experiments where we quantitatively analyzed the receptive‐field (RF) properties of neurons in V1 and an adjacent extrastriate visual area (V2L) of anesthetized mice with emphasis on the RF ...
G. van den Bergh+3 more
semanticscholar +1 more source
Development differentially sculpts receptive fields across early and high-level human visual cortex
Receptive fields (RFs) processing information in restricted parts of the visual field are a key property of visual system neurons. However, how RFs develop in humans is unknown.
Jesse Gomez+4 more
semanticscholar +1 more source
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields [PDF]
The visual world is vast and varied, but its variations divide into structured and unstructured factors. We compose free-form filters and structured Gaussian filters, optimized end-to-end, to factorize deep representations and learn both local features and their degree of locality.
arxiv
GLGait: A Global-Local Temporal Receptive Field Network for Gait Recognition in the Wild [PDF]
Gait recognition has attracted increasing attention from academia and industry as a human recognition technology from a distance in non-intrusive ways without requiring cooperation. Although advanced methods have achieved impressive success in lab scenarios, most of them perform poorly in the wild.
arxiv
Adaptation pools and excitation receptive fields of rat retinal ganglion cells [PDF]
Lillian Tong, Daniel G. Green
openalex +1 more source