As one of the energy-efficient alternatives of conventional neural netwo...
Spiking Neural Networks (SNNs) as one of the biology-inspired models hav...
Most of the existing disease prediction methods in the field of medical ...
Recent efforts have been made on acoustic scene classification in the au...
In computer vision, contrastive learning is the most advanced unsupervis...
With the growing popularity of intelligent assistants (IAs), evaluating ...
A growing body of research in natural language processing (NLP) and natu...
Multi-Label Remote Sensing Image Classification (MLRSIC) has received
in...
This paper introduces a new fundamental characteristic, , the dynamic
ra...
Optical coherence tomography angiography (OCTA) is a novel imaging modal...
Distant supervision provides a means to create a large number of weakly
...
In recent years, individuals, business organizations or the country have...
This paper provides a pair similarity optimization viewpoint on deep fea...