… for underwater fish habitat monitoring. In addition, we provide insights into challenges and
opportunities in the underwater fish habitat … , introduction of deep learning and its relevant …

… as underwater fish monitoring. In addition, we provide a comprehensive survey of key deep
learning techniques for fish habitat … This paper covers the use of deep learning in underwater …

… Moreover, achieving good location accuracy in underwater environments is an additional …
habitats - more specifically, coral reef marine habitats. Recognition of coral reef in underwater …

… Underwater imagery of fish in their natural habitat includes all of these challenges that must
be addressed using a specially designed, non-linear mathematical function to represent the …

… and tracking of marine habitats and species. In … underwater vehicles (AUV) and unmanned
underwater vehicles (UUV) has led to an exponential increase of availability of underwater …

… on machine learning and deep learning algorithms are … are used in the Deep Learning
approach. The experimental results … to automatically identify PO meadows in underwater images. …

… We present standard deep learning methods for each of these tasks. Shown as the blue
module in Figure 4, these methods have the ResNet-50 13 backbone which is one of the most …

… learn the immense oceanic volume for deep learning [24] and be aware of the underwater
habitats… Therefore, the onboard transmission of sensing images from the underwater objects …

… But, there were no significant researches on underwater habitat. This is mainly because
of the unrestricted natural habitat of the sea. The underwater videos are of low quality with …

… Abstract—Habitat … habitats as it is hard to get good images in underwater conditions and
to precisely locate them. In this paper we present a novel technique for performing habitat …