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1
Published in 2021 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-021-1287-y
Abstract: An efficient convolution neural network (CNN) plays a crucial role in various visual tasks like object classification or detection, etc. The most common way to construct a CNN is stacking the same convolution block or…
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Keywords:
classification;
network;
object classification;
classification detection ... See more keywords
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0
Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-18664-5
Abstract: Forty years ago David Navon tried to tackle a central problem in psychology concerning the time course of perceptual processing: Do we first see the details (local level) followed by the overall outlay (global level)…
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Keywords:
paradigm;
visual object;
processing;
object classification ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3230008
Abstract: In the past decade, Convolutional Neural Networks (CNNs) have achieved tremendous success in solving complex classification problems. CNN architectures require an excessive number of computations to achieve high accuracy. However, these models are deficient due…
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Keywords:
classification;
image level;
resource;
level object ... See more keywords
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0
Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3334971
Abstract: Dexterous robotic grasping gains great benefits from tactile sensation, but delicate object exploration by tactile information is challenged by difficulty in rich and efficient data production. In this letter, we propose a tactile-based in-hand object…
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Keywords:
classification;
sim real;
object classification;
hand object ... See more keywords
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0
Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3557289
Abstract: Traditional object classification in 3D point cloud scenes relies heavily on large-scale labeled training data, which is both time-consuming and labor-intensive to obtain. Unsupervised Domain Transfer (UDT) mitigates this challenge by transferring knowledge from a…
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Keywords:
unsupervised domain;
domain transfer;
object classification;
transfer ... See more keywords
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0
Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3279554
Abstract: Power grasps and fine manipulations with a robotic hand usually require dexterity in the fingers and a rich tactile function. In this article, we propose a novel soft hand with a tactile sensing function and…
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Keywords:
hand;
tactile sensing;
object classification;
palm ... See more keywords
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0
Published in 2020 at "IEEE Transactions on Haptics"
DOI: 10.1109/toh.2019.2958669
Abstract: Interactions with an object during within-hand manipulation (WIHM) constitutes an assortment of gripping, sliding, and pivoting actions. In addition to manipulation benefits, the re-orientation and motion of the objects within-the-hand also provides a rich array…
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Keywords:
manipulation;
object classification;
hand;
hand manipulation ... See more keywords
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0
Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2016.2630038
Abstract: Consider designing an effective crowdsourcing system for M-ary classification where crowd workers complete simple binary microtasks, which are aggregated to give the final result. We consider the novel scenario where workers have a reject option,…
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Keywords:
classification;
greedy workers;
reject option;
object classification ... See more keywords
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0
Published in 2017 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-017-0483-y
Abstract: The accelerated advancement in modeling, digitizing, and visualizing techniques for 3D shapes has led to an increasing amount of 3D models creation and usage, thanks to the 3D sensors which are readily available and easy…
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Keywords:
classification;
shape representation;
shape;
object classification ... See more keywords
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0
Published in 2025 at "Computer Optics"
DOI: 10.18287/2412-6179-co-1538
Abstract: Single pixel imaging is a promising method of imaging without using multi-pixel matrices. Unlike traditional methods, the image here is not directly registered, but computed. Recently, machine learning techniques have started to be used to…
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Keywords:
classification using;
single pixel;
pixel;
object classification ... See more keywords
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0
Published in 2020 at "Archeologia e Calcolatori"
DOI: 10.19282/ac.31.2.2020.13
Abstract: Since the 1970s, the development of archaeological databases has characterised the history of archaeological computing. The paper presents a summary of the pivotal early projects, with a particular focus on Italy and France, up to…
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Keywords:
object classification;
archaeological online;
databases archaeological;
online resources ... See more keywords