Results 51 to 60 of about 33,619 (260)

Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention

IEEE Access
Despite extensive applications in surveillance and remote sensing, research on very low-resolution (VLR) image classification remains relatively unexplored in comparison to high-resolution (HR) image classification.
Hasindu Dewasurendra, Taejoon Kim
doaj   +1 more source

REDUCING COMPUTATIONAL DEMANDS IN CAPSULE NET THROUGH KNOWLEDGE DISTILLATION AND TRANSFER LEARNING [PDF]

ICTACT Journal on Soft Computing
Capsule networks have emerged as a robust alternative to traditional convolutional neural networks, providing superior performance in recognizing spatial hierarchies and capturing intricate relationships in image data.
Vince Paul, A. Anbu Megelin Star, A. Anto Spiritus Kingsly, S.J. Jereesha Mary   +3 more
doaj   +1 more source

Deepfake Detection Using Meso4Net and Capsule Networks Through Facial Feature and Pattern Analysis

IEEE Access
AI may now be expanded, and its technical potential is increasing every day. The quick expansion is causing risky issues. Complete alteration is taking place in the phony images and films.
Nagalakshmi Pasupuleti, D. Venkata Lakshmi   +1 more
doaj   +1 more source

Capsule Networks -- A Probabilistic Perspective

CoRR, 2020
'Capsule' models try to explicitly represent the poses of objects, enforcing a linear relationship between an object's pose and that of its constituent parts. This modelling assumption should lead to robustness to viewpoint changes since the sub-object/super-object relationships are invariant to the poses of the object.
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk   +3 more
openaire   +3 more sources

Towards Efficient Capsule Networks

2022 IEEE International Conference on Image Processing (ICIP), 2022
From the moment Neural Networks dominated the scene for image processing, the computational complexity needed to solve the targeted tasks skyrocketed: against such an unsustainable trend, many strategies have been developed, ambitiously targeting performance's preservation.
Renzulli, Riccardo, Grangetto, Marco
openaire   +2 more sources

Siamese Capsule Networks

CoRR, 2018
Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on tasks where (1) the entities detected inherently have more complex internal representations and (2) there are very few instances per class to learn from and (3) where point ...
openaire   +2 more sources

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

The state-of-the-art of power electronics converters configurations in electric vehicle technologies

Power Electronic Devices and Components, 2022
Today, the Internal Combustion Engine (ICE) is gradually being replaced by electric motors, which results in higher efficiency and low emission of greenhouse gases. The electric vehicle either works wholly or partially on electrical energy generated from
Pandav Kiran Maroti, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Vigna K. Ramachandaramurthy, Frede Blaabjerg   +4 more
doaj   +1 more source

Hyperparameter optimisation for Capsule Networks [PDF]

EAI Endorsed Transactions on Cloud Systems, 2019
Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that affect classification accuracy and lose spatial relationship information between involved data points.
Gagana B, S Natarajan
openaire   +3 more sources

TI-Capsule: Capsule Network for Stock Exchange Prediction

CoRR, 2021
Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market. In most studies in this area, the sentiment analysis of the content of user posts on social networks is used to predict market fluctuations. Predicting stock marketing is challenging because of the variables involved. In the
Ramin Mousa, Sara Nazari, Ali Karhe Abadi, Reza Shoukhcheshm, Mohammad Niknam Pirzadeh, Leila Safari   +5 more
openaire   +2 more sources