Results 51 to 60 of about 1,028,974 (354)
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks [PDF]
IEEE International Conference on Computer Vision, 2019 As designing appropriate Convolutional Neural Network (CNN) architecture in the context of a given application usually involves heavy human works or numerous GPU hours, the research community is soliciting the architecture-neutral CNN structures, which ...
Xiaohan Ding +3 more
semanticscholar +1 more source
Mapping Tobacco Fields Using UAV RGB Images
Sensors, 2019 Tobacco planting information is an important part of tobacco production management. Unmanned aerial vehicle (UAV) remote sensing systems have become a popular topic worldwide because they are mobile, rapid and economic.
Xiufang Zhu +4 more
doaj +1 more source
Convolution Coding and Amplitude Attenuation-Based Full Waveform Inversion
IEEE Access, 2020 Full waveform inversion (FWI) is a powerful method to reconstruct the properties of the subsurface media. However, the standard FWI is a non-unique and ill-posed inversion problem, which requires proper techniques to avoid cycle skipping phenomena ...
Shiqi Dong +4 more
doaj +1 more source
Convolution of Lorentz Invariant Ultradistributions and Field Theory [PDF]
, 2003 In this work, a general definition of convolution between two arbitrary four dimensional Lorentz invariant (fdLi) Tempered Ultradistributions is given, in both: Minkowskian and Euclidean Space (Spherically symmetric tempered ultradistributions).
Bollini, C. G., Rocca, M. C.
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Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution [PDF]
IEEE International Conference on Computer Vision, 2019 In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with global structures. Similarly, the output feature maps of a convolution layer
Yunpeng Chen +7 more
semanticscholar +1 more source
, 2017 Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR ...
Huang, Cheng-Zhi Anna +4 more
openaire +3 more sources
Radiotracer investigation of a pulp and paper mill effluent treatment plant
Nukleonika, 2017 The pulp and paper industry is highly dependent on water for most of its processes, producing a significant amount of wastewater that should be treated to comply with environmental standards before its discharge into surface-water reservoirs.
Sarkar Metali +7 more
doaj +1 more source
Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network
Advances in Electrical and Computer Engineering, 2013 The segmentation process represents a first step necessary for any automatic method of extracting information from an image. In the case of X-ray images, through segmentation we can differentiate the bone tissue from the rest of the image.
CERNAZANU-GLAVAN, C., HOLBAN, S.
doaj +1 more source
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
, 2018 Standard 3D convolution operations require much larger amounts of memory and computation cost than 2D convolution operations. The fact has hindered the development of deep neural nets in many 3D vision tasks. In this paper, we investigate the possibility
CB Choy +5 more
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Convolution and convolution-root properties of long-tailed distributions [PDF]
, 2015 We obtain a number of new general properties, related to the closedness of the class of long-tailed distributions under convolutions, that are of interest themselves and may be applied in many models that deal with "plus" and/or "max" operations on heavy-
Foss, Sergey, Wang, Yuebao, Xu, Hui
core +2 more sources