With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images.
Capsule networks excel in understanding spatial relationships in 2D data for vision related tasks.
Privacy issues related to video camera feeds have led to a growing need for suitable alternatives that provide functionalities such as user authentication, activity classification and tracking in a noninvasive manner.
Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data.
Our system is useful in character recognition for localized languages that lack much labeled training data and even in other related more general contexts such as object recognition.
Ranked #3 on Image Classification on EMNIST-Letters