Using unsupervised capsule neural network reveal spatial representations in the human brain
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DOI: 10.1002/hbm.26573
Abstract: Humans can extract high‐level spatial features from visual signals, but spatial representations in the brain are complex and remain unclear. The unsupervised capsule neural network (U‐CapsNet) is sensitive to the spatial location and relationship of… read more here.
Keywords: unsupervised capsule; brain; human brain; capsule neural ... See more keywords
Detecting Hypernymy Relations Between Medical Compound Entities Using a Hybrid-Attention Based Bi-GRU-CapsNet Model
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DOI: 10.1109/access.2019.2957827
Abstract: Named entities composed of multiple continuous words frequently occur in domain-specific knowledge graphs. In general, these named entities are composable and extensible, such as names of symptoms and diseases in the medical domain. Unlike the… read more here.
Keywords: compound entities; hybrid attention; capsnet; hypernymy relations ... See more keywords
Hyperspectral Image Classification With CapsNet and Markov Random Fields
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DOI: 10.1109/access.2020.3029174
Abstract: Hyperspectral image (HSI) classification is one of the most challenging problems in understanding HSI. Convolutional neural network(CNN), with the strong ability to extract features using the hidden layers in the network, has been introduced to… read more here.
Keywords: hyperspectral image; capsnet; image classification; cnn ... See more keywords
The Multi-Lane Capsule Network
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DOI: 10.1109/lsp.2019.2915661
Abstract: We introduce multi-lane capsule networks (MLCN), which are a separable and resource efficient organization of capsule networks (CapsNet) that allows parallel processing while achieving high accuracy at reduced cost. A MLCN is composed of a… read more here.
Keywords: lane capsule; multi lane; capsnet; capsule ... See more keywords
A Fast Routing Capsule Network With Improved Dense Blocks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3128412
Abstract: Routing algorithm in most existing Capsule Networks (CapsNets) is always a challenging problem due to its heavy computational burden. To address this issue, we propose a “fast routing” algorithm, where the high-level capsules are activated… read more here.
Keywords: dense blocks; fast routing; improved dense; capsnet ... See more keywords
A novel CapsNet neural network based on MobileNetV2 structure for robot image classification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1007939
Abstract: Image classification indicates that it classifies the images into a certain category according to the information in the image. Therefore, extracting image feature information is an important research content in image classification. Traditional image classification… read more here.
Keywords: network; classification; robot image; image classification ... See more keywords