Transformers pay attention to convolutions leveraging emerging properties of ViTs by dual attention-image network
Although purely transformer-based architectures pretrained on large datasets are introduced
as foundation models for general computer vision tasks, hybrid models that incorporate …
as foundation models for general computer vision tasks, hybrid models that incorporate …
Representation learning for semantic scene understanding
A Farshad - HHAI 2023: Augmenting Human Intellect, 2023 - ebooks.iospress.nl
Recent advances in semantic scene understanding have underscored its growing
significance in the field of computer vision. Enhanced representations can be achieved by …
significance in the field of computer vision. Enhanced representations can be achieved by …
DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection.
Electrocardiograms (ECGs) can be considered a viable method for cardiovascular disease
(CVD) diagnosis. Recently, machine learning algorithms such as deep neural networks …
(CVD) diagnosis. Recently, machine learning algorithms such as deep neural networks …