[HTML][HTML] Capsule networks–a survey
Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …
recognition, natural language processing, object detection, object segmentation and …
Capsule networks–A survey
M Kwabena Patrick, A Felix Adekoya, A Abra Mighty… - 2022 - dl.acm.org
Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …
recognition, natural language processing, object detection, object segmentation and …
Towards scalable and reliable capsule networks for challenging NLP applications
Obstacles hindering the development of capsule networks for challenging NLP applications
include poor scalability to large output spaces and less reliable routing processes. In this …
include poor scalability to large output spaces and less reliable routing processes. In this …
Learning language specific sub-network for multilingual machine translation
Multilingual neural machine translation aims at learning a single translation model for
multiple languages. These jointly trained models often suffer from performance degradation …
multiple languages. These jointly trained models often suffer from performance degradation …
Dynamic context-guided capsule network for multimodal machine translation
Multimodal machine translation (MMT), which mainly focuses on enhancing text-only
translation with visual features, has attracted considerable attention from both computer …
translation with visual features, has attracted considerable attention from both computer …
Convolutional‐capsule network for gastrointestinal endoscopy image classification
Automated diagnosis of digestive tract diseases from gastrointestinal endoscopy images is
of high importance for improving the diagnosis accuracy and efficiency. The current …
of high importance for improving the diagnosis accuracy and efficiency. The current …
Enhancing context modeling with a query-guided capsule network for document-level translation
Context modeling is essential to generate coherent and consistent translation for Document-
level Neural Machine Translations. The widely used method for document-level translation …
level Neural Machine Translations. The widely used method for document-level translation …
End-to-end LDA-based automatic weak signal detection in web news
An extremely competitive business environment requires every company to monitor its
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
Topic-enhanced capsule network for multi-label emotion classification
Identifying multiple emotions in a piece of text is an important research topic in the NLP
community. Existing methods usually model the task as a multi-label classification problem …
community. Existing methods usually model the task as a multi-label classification problem …
Turning fixed to adaptive: Integrating post-evaluation into simultaneous machine translation
Simultaneous machine translation (SiMT) starts its translation before reading the whole
source sentence and employs either fixed or adaptive policy to generate the target sentence …
source sentence and employs either fixed or adaptive policy to generate the target sentence …