Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

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

(2017) Shoaib Ahmed Siddiqui et al.   ICES JOURNAL OF MARINE SCIENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

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

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