3 accepted papers
Underwater acoustic target recognition involves identifying and classifying targets in underwater environments using acoustic signals. In recent years, deep learning has made significant progress in this field. However, the models require the entire dataset to be available upfront, and classificatio…
Many existing face forgery detection methods primarily revolve around learning general representations on predefined datasets and subsequently crossing these static representations to other datasets. However, these approaches could lead to catastrophic forgetting in real-world scenarios, especially…
Ultrasound tongue imaging is widely used in clinical linguistics and phonetics. Recently, deep neural networks, especially convolutional neural networks, have been widely used in the interpretation and analysis of ultrasound tongue images (UTI). Despite achieving satisfactory performance, deep model…