Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

Towards automating underwater measurement of fish length: a comparison of semi-automatic and manual stereo–video measurements

(2017) Faisal Shafait et al.   ICES JOURNAL OF MARINE SCIENCE

Fish species classification in unconstrained underwater environments based on deep learning

(2016) Ahmad Salman et al.   LIMNOLOGY AND OCEANOGRAPHY-METHODS

Progress in the Automated Identification, Measurement, and Counting of Fish in Underwater Image Sequences

(2016) Mark R. Shortis et al.   MARINE TECHNOLOGY SOCIETY JOURNAL

DeepFish: Accurate underwater live fish recognition with a deep architecture

(2016) Hongwei Qin et al.   NEUROCOMPUTING

What is Big BRUVver up to? Methods and uses of baited underwater video

(2016) Sasha K. Whitmarsh et al.   REVIEWS IN FISH BIOLOGY AND FISHERIES

Climate-driven regime shift of a temperate marine ecosystem

(2016) T. Wernberg et al.   SCIENCE

Tropical herbivores provide resilience to a climate-mediated phase shift on temperate reefs

(2015) Scott Bennett et al.   ECOLOGY LETTERS

A small no-take marine sanctuary provides consistent protection for small-bodied by-catch species, but not for large-bodied, high-risk species

(2015) Bryce W. McLaren et al.   JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

A texton-based kernel density estimation approach for background modeling under extreme conditions

(2014) C. Spampinato et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Underwater video techniques for observing coastal marine biodiversity: A review of sixty years of publications (1952–2012)

(2014) Delphine Mallet et al.   FISHERIES RESEARCH

Hierarchical classification with reject option for live fish recognition

(2014) Phoenix X. Huang et al.   MACHINE VISION AND APPLICATIONS

New possibilities for research on reef fish across the continental shelf of South Africa

(2014) Anthony T.F. Bernard et al.   SOUTH AFRICAN JOURNAL OF SCIENCE

Real-world underwater fish recognition and identification, using sparse representation

(2013) Yi-Hao Hsiao et al.   Ecological Informatics

A little bait goes a long way: The influence of bait quantity on a temperate fish assemblage sampled using stereo-BRUVs

(2013) Jethro Hardinge et al.   JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY

Coastal Fish Assemblages Reflect Geological and Oceanographic Gradients Within An Australian Zootone

(2013) Euan S. Harvey et al.   PLoS One

Response of diurnal and nocturnal coral reef fish to protection from fishing: an assessment using baited remote underwater video

(2012) E. S. Harvey et al.   CORAL REEFS

Bait Effects in Sampling Coral Reef Fish Assemblages with Stereo-BRUVs

(2012) Stacey R. Dorman et al.   PLoS One

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Observational methods used in marine spatial monitoring of fishes and associated habitats: a review

(2010) Hannah M. Murphy et al.   MARINE AND FRESHWATER RESEARCH

Influence of Range, Angle of View, Image Resolution and Image Compression on Underwater Stereo-Video Measurements: High-Definition and Broadcast-Resolution Video Cameras Compared

(2010) Euan S. Harvey et al.   MARINE TECHNOLOGY SOCIETY JOURNAL

Classifying fish schools and estimating their species proportions in fishery-acoustic surveys

(2009) R. Fablet et al.   ICES JOURNAL OF MARINE SCIENCE

Effects of protection from fishing on the lengths of targeted and non-targeted fish species at the Houtman Abrolhos Islands, Western Australia

(2009) DL Watson et al.   MARINE ECOLOGY PROGRESS SERIES