the routing algorithm presented so far, claiming that better results can be obtained with no routing at all. On the other hand, Venkataraman et al.19proved that routing-by-agreement mechanism is essential to ensure compositional structures of capsule-based networks. Byerly et al.20, instead, pro...
an evolution in the field of deep learning, provide a unique framework for image analysis that is particularly suited for medical imaging tasks. Unlike traditional convolutional neural networks (CNNs) that may lose spatial hierarchies between high-level features, CapsNets preserve these ...
The proposed capsule network extracts object-part information by using convolutional capsules with locally-connected routing and predicts the final salient map based on the deconvolutional capsules. Experimental results on four RGB-D benchmark datasets show that our proposed method outperforms 23 state-...
Furthermore, large networks with a large number of parameters tend to memorize the training data, especially when the data amount is small. We expected that the Capsule-Forensics network can be better generalized than large networks thanks to the statistical pooling operation and dynamic routings ...
The VGGNet is deeper and contains a larger number of weights, while the CapsNet can achieve a similar accuracy with a smaller footprint. This effect causes a disparity in the prediction confidence between the two networks. It is clear that the CapsNet has a much higher learning capability, ...
Wireless capsule endoscopy (WCE) offers a non-invasive evaluation of the digestive system, eliminating the need for sedation and the risks associated with conventional endoscopic procedures. Its significance lies in diagnosing gastrointestinal tissue irregularities, especially in the small intestine. However...
Recently, the C apsNet10–12 has been proposed to preserve vector quantity, rather than scalar quantity, by replacing max-pooling operation with convolutional strides and dynamic routing. The vector quantity is capable of preserving object-part relationships, which is the basic element of a ...
Recently, capsule networks have achieved highly competitive performance for COVID-19 detection, but they require expensive routing computation or traditional matrix multiplication to deal with the capsule dimensional entanglement. A more lightweight capsule network is developed to effectively address these ...
Mei et al. [26] designed a capsule residual structure. We explore capsule networks in the field of hyperspectral video object tracking. The motivation for proposing a hyperspectral video tracker based on octave convolution and a spatial–spectral capsule network (OCSCNet-Tracker) is to gain ...
Mei et al. [26] designed a capsule residual structure. We explore capsule networks in the field of hyperspectral video object tracking. The motivation for proposing a hyperspectral video tracker based on octave convolution and a spatial–spectral capsule network (OCSCNet-Tracker) is to gain ...