Results 21 to 30 of about 29,311 (260)
Capsule Network with Shortcut Routing
8 pages, published at IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences E104.A(8)
Vu, Dang Thanh +3 more
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CapsNets continuing the convolutional quest
Capsule networks are ideal tools to combine event-level and subjet information at the LHC. After benchmarking our capsule network against standard convolutional networks, we show how multi-class capsules extract a resonance decaying to top quarks from
Sascha Diefenbacher, Hermann Frost, Gregor Kasieczka, Tilman Plehn, Jennifer M. Thompson
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Classification of Defective Fabrics Using Capsule Networks
Fabric quality has an important role in the textile sector. Fabric defect, which is a highly important factor that influences the fabric quality, has become a concept that researchers are trying to minimize. Due to the limited capacity of human resources,
Yavuz Kahraman, Alptekin Durmuşoğlu
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Breaking CAPTCHA with Capsule Networks
Convolutional Neural Networks have achieved state-of-the-art performance in image classification. Their lack of ability to recognise the spatial relationship between features, however, leads to misclassification of the variants of the same image. Capsule Networks were introduced to address this issue by incorporating the spatial information of image ...
Ionela Georgiana Mocanu +2 more
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Unraveling Capsule Biosynthesis and Signaling Networks in Cryptococcus neoformans
The polysaccharide capsule of Cryptococcus neoformans—an opportunistic basidiomycete pathogen and the major etiological agent of fungal meningoencephalitis—is a key virulence factor that prevents its phagocytosis by host innate immune cells. However, the
Eun-Ha Jang +3 more
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Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network
Entity disambiguation refers to the accurate inference of the real mention of an entity with the same name according to the context. Most existing studies focused on long texts, for short texts, the performance has been unsatisfactory due to sparsity. In
Liting Jiang +4 more
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Towards Feasible Capsule Network for Vision Tasks
Capsule networks exhibit the potential to enhance computer vision tasks through their utilization of equivariance for capturing spatial relationships.
Dang Thanh Vu +3 more
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Capsules are grouping of neurons that allow to represent sophisticated information of a visual entity such as pose and features. In the view of this property, Capsule Networks outperform CNNs in challenging tasks like object recognition in unseen viewpoints, and this is achieved by learning the transformations between the object and its parts with the ...
��zcan, Bar���� +2 more
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Gene Ontology Capsule GAN: an improved architecture for protein function prediction [PDF]
Proteins are the core of all functions pertaining to living things. They consist of an extended amino acid chain folding into a three-dimensional shape that dictates their behavior.
Musadaq Mansoor +3 more
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Capsule network (CapsNet) was introduced as an enhancement over convolutional neural networks, supplementing the latter's invariance properties with equivariance through pose estimation. CapsNet achieved a very decent performance with a shallow architecture and a significant reduction in parameters count.
Mohammed Amer, Tomás Maul
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