In self-driving cars, adverse weather (eg, fog, rain, snow, and cloud) or occlusion scenarios
result in domain shift being unavoidable in object detection. Researchers have recently …

Advances in underwater recording and processing systems have highlighted the need for
automated methods dedicated to the accurate detection and tracking of small underwater …

Underwater object detection (UOD), aiming to identify and localise the objects in underwater
images or videos, presents significant challenges due to the optical distortion, water …

Underwater object detection faces the problem of underwater image degradation, which
affects the performance of the detector. Underwater object detection methods based on …

The degradation of underwater images, due to complex factors, negatively impacts the
performance of underwater visual tasks. However, most underwater image enhancement …

Underwater object detection (UOD) is crucial for developing marine resources,
environmental monitoring, and ecological protection. However, the degradation of …

Transformer-based detectors have recently achieved remarkable success in object
detection, revolutionizing the field with their efficiency and accuracy. However, applying …

Underwater object detection has numerous applications in protecting, exploring, and
exploiting aquatic environments. However, underwater environments pose a unique set of …

Autonomous underwater vehicles equipped with target recognition algorithms are a primary
means of removing marine debris. However, due to poor underwater visibility, light …

The need for precise identification of underwater sonar image targets is growing in areas
such as marine resource exploitation, subsea construction, and ocean ecosystem …