When recognizing underwater images, problems, including poor image quality and
complicated backdrops, are significant. The main problem of underwater images is the …

Underwater trash detection faces many problems. For example, the resolution of underwater
trash datasets is generally low, and trash may show irregular shapes, sizes, and scales …

With the increasing global marine pollution, the detection and treatment of marine debris is
particularly important. With the continuous development of machine learning, the object …

The amount of garbage produced by individuals living the modern lifestyle is significantly
higher than in the past. To preserve the planet, it is necessary to recycle this garbage; one of …

Despite the growing efforts to tackle the issue of marine pollution, the accurate and effective
detection of oceanic litter remains a chronic difficulty. The development of a reliable deep …

Plastic trash can be found anywhere, around the marina, beaches, and coastal areas in
recent times. This study proposes a trash dataset called HAIDA and a trash detector that …

Background: Trash deposits in the aquatic or marine environments have a disastrous effect
on marine ecosystems and always pose a long-term environmental threat, which causes a …

Aiming at the problem of insufficient storage space and limited computing ability of
underwater mobile devices, an underwater garbage detection algorithm based on an …

Rivers are an essential part of the aquatic environment. The accurate detection and timely
cleaning of river floating debris plays a vital role in the landscape and aquatic ecological …

Litter deposition in aquatic environments has devastating effects on marine ecological
environment and poses a threat to a sustainable economy. Autonomous Underwater …