Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …

Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Global warming affects the Arctic more than any other region. Mass media constantly relay
apocalyptic visions of climate change threatening Arctic wildlife, especially emblematic …

Fish are key members of marine ecosystems, and they have a significant share in the
healthy human diet. Besides, fish abundance is an excellent indicator of water quality, as …

Nowadays, underwater video systems are largely used by marine ecologists to study the
biodiversity in underwater environments. These systems are non-destructive, do not perturb …

Featured Application In the future, the application of this study is very feasible and very close
to being implemented for the auto-sorting system for various fish or other objects, in the fish …

Using big marine data to train deep learning models is not efficient, or sometimes even
possible, on local computers. In this paper, we show how distributed learning in the cloud …

This paper presents a new dataset and general tracker enhancement method for
Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking …

In mammalian research, the implementation of the 3Rs is ubiquitous. However, the
adaptation of procedures for experimental work on fish seems less extensive in comparison …

Shallow coastal lagoons are vital ecosystems for many aquatic species and understanding
their biodiversity is essential. Very little is known about the distribution and abundance of …