Results 31 to 40 of about 69,407 (212)
Breaking CAPTCHA with Capsule Networks
Neural Networks, 2022 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
openaire +3 more sources
Remote Sensing, 2021 In order to overcome the disadvantages of convolution neural network (CNN) in the current hyperspectral image (HSI) classification/segmentation methods, such as the inability to recognize the rotation of spatial objects, the difficulty to capture the ...
Le Sun +4 more
doaj +1 more source
RCN2: Residual Capsule Network V2
, 2021 Unlike Convolutional Neural Network (CNN), which works on the shift-invariance in image processing, Capsule Networks can understand hierarchical model relations in depth[1]. This aspect of Capsule Networks let them stand out even when models are enormous
Mohamed El-Sharkawy +3 more
core +1 more source
MIRN: A multi-interest retrieval network with sequence-to-interest EM routing.
PLoS ONE, 2023 Vector-based retrieval have been widely adopted to process online users' diverse interests for recommendations. However, most of them utilize a single vector to represent user multiple interests (UMI), inevitably impairing the accuracy and diversity of ...
Xiliang Zhang +5 more
doaj +1 more source
Pushing the Limits of Capsule Networks
CoRR, 2021 Convolutional neural networks use pooling and other downscaling operations to maintain translational invariance for detection of features, but in their architecture they do not explicitly maintain a representation of the locations of the features relative to each other.
Prem Nair, Rohan Doshi, Stefan Keselj
openaire +2 more sources
, 2020 In recent years, frequent meteorological disasters have caused great concern to people. It is particularly important to timely detect the meteorological events and release early warning information. Most traditional meteorological event detection methods
Zhendong Niu +9 more
core +1 more source
GE: Portuguese Journal of Gastroenterology, 2021 Introduction: Capsule endoscopy has revolutionized the management of patients with obscure gastrointestinal bleeding. Nevertheless, reading capsule endoscopy images is time-consuming and prone to overlooking significant lesions, thus limiting its ...
Miguel Mascarenhas Saraiva +8 more
doaj +1 more source
Capsule Networks as Generative Models
, 2023 Accepted at the 3rd International Workshop on Active Inference, 19th Sept 2022, Grenoble; This version: added reference, corrected typographical error; final submitted ...
Alex B. Kiefer +3 more
openaire +2 more sources
, 2020 Introduction Xianlinggubao (XLGB) capsule is a traditional Chinese medicine, which is approved by the Chinese State Food and Drug Administration (CFDA) for osteoarthritis (OA) and osteoporosis (OP).
Zuchao Gu, Cheng Li, Jianwei Zeng
core +1 more source
Neural network-based approach for the classification of wireless-capsule endoscopic images [PDF]
, 2005 The importance of computer-assisted diagnosis in endoscopy is to assist the physician in detecting the status of tissues by characterising the features from the endoscopic image.
M. Boulougoura +3 more
core +1 more source