相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Automatic underwater fish species classification with limited data using few-shot learning
Sebastien Villon et al.
ECOLOGICAL INFORMATICS (2021)
Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system
Ahmad Salman et al.
ICES JOURNAL OF MARINE SCIENCE (2020)
Fish detection and species classification in underwater environments using deep learning with temporal information
Ahsan Jalal et al.
ECOLOGICAL INFORMATICS (2020)
Generalizing from a Few Examples: A Survey on Few-shot Learning
Yaqing Wang et al.
ACM COMPUTING SURVEYS (2020)
Automating the Analysis of Fish Abundance Using Object Detection: Optimizing Animal Ecology With Deep Learning
Ellen M. Ditria et al.
FRONTIERS IN MARINE SCIENCE (2020)
Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification
Nicholas J. Tustison et al.
ACADEMIC RADIOLOGY (2019)
Fish species identification using a convolutional neural network trained on synthetic data
Vaneeda Allken et al.
ICES JOURNAL OF MARINE SCIENCE (2019)
Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks
Anderson Aparecido dos Santos et al.
ECOLOGICAL INFORMATICS (2019)
Visual features based automated identification of fish species using deep convolutional neural networks
Hafiz Tayyab Rauf et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
Shoaib Ahmed Siddiqui et al.
ICES JOURNAL OF MARINE SCIENCE (2018)
Comprehensive phylogeny of ray-finned fishes (Actinopterygii) based on transcriptomic and genomic data
Lily C. Hughes et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
Fish Species Classification using Graph Embedding Discriminant Analysis
Snigdhaa Hasija et al.
2017 INTERNATIONAL CONFERENCE ON MACHINE VISION AND INFORMATION TECHNOLOGY (CMVIT) (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Fish conservation in freshwater and marine realms: status, threats and management
Angela H. Arthington et al.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2016)
A Review on Multi-Label Learning Algorithms
Min-Ling Zhang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)
Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis
C. Costa et al.
AQUACULTURAL ENGINEERING (2013)
An improved K-means clustering algorithm for fish image segmentation
Hong Yao et al.
MATHEMATICAL AND COMPUTER MODELLING (2013)
Resolution of ray-finned fish phylogeny and timing of diversification
Thomas J. Near et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)
A survey of hierarchical classification across different application domains
Carlos N. Silla et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2011)