Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method. (arXiv:2211.05396v1 [cs.CV])

Underwater automatic target recognition (UATR) has been a challenging
research topic in ocean engineering. Although deep learning brings
opportunities for target recognition on land and in the air, underwater target
recognition techniques based on deep learning have lagged due to sensor
performance and the size of trainable data. This letter proposed a framework
for learning the visual representation of underwater acoustic imageries, which
takes a transformer-based style transfer model as the main body. It could
replace the low-level texture features …

arxiv representation style transfer transfer transformer