Self-Paced Dense Connectivity Learning for Visual Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2904315
Abstract: When misalignment, deformation, and tracking failures occur, the appearance of the target tends to change significantly. How to effectively learn the change of target’s appearance is an essential problem in visual tracking. Recently, most recent… read more here.
Keywords: visual tracking; self paced; dense connectivity; target ... See more keywords
Automated arrhythmia classification based on a pyramid dense connectivity layer and BiLSTM
Sign Up to like & getrecommendations! Published in 2024 at "Technology and Health Care"
DOI: 10.1177/09287329241290941
Abstract: Background Deep neural networks (DNNs) have recently been significantly applied to automatic arrhythmia classification. However, their classification accuracy still has room for improvement. Objectives The aim of this study is to address the existing limitations… read more here.
Keywords: classification; connectivity layer; arrhythmia classification; dense connectivity ... See more keywords