Related references
Note: Only part of the references are listed.Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Shui-Hua Wang et al.
INFORMATION FUSION (2021)
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
Yu-Dong Zhang et al.
INFORMATION PROCESSING & MANAGEMENT (2021)
Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body
Huu-Thu Nguyen et al.
SENSORS (2020)
Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning
Shin'ichiro Kako et al.
MARINE POLLUTION BULLETIN (2020)
Mapping marine litter with Unmanned Aerial Systems: A showcase comparison among manual image screening and machine learning techniques
Gil Goncalves et al.
MARINE POLLUTION BULLETIN (2020)
Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods
Gil Goncalves et al.
REMOTE SENSING (2020)
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery
Kyriacos Themistocleous et al.
REMOTE SENSING (2020)
SMACC: A System for Microplastics Automatic Counting and Classification
Javier Lorenzo-Navarro et al.
IEEE ACCESS (2020)
Underwater Object Classification in Sidescan Sonar Images Using Deep Transfer Learning and Semisynthetic Training Data
Guanying Huo et al.
IEEE ACCESS (2020)
Deep Image Representations for Coral Image Classification
Ammar Mahmood et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2019)
Underwater Unexploded Ordnance (UXO) Classification Using a Matched Subspace Classifier With Adaptive Dictionaries
John J. Hall et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2019)
Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018)
Konstantinos Topouzelis et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Underwater and airborne monitoring of marine ecosystems and debris
Jun-ichiro Watanabe et al.
JOURNAL OF APPLIED REMOTE SENSING (2019)
Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives
L. Fallati et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Robotic Detection of Marine Litter Using Deep Visual Detection Models
Michael Fulton et al.
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)
Anthropogenic marine debris over beaches: Spectral characterization for remote sensing applications
Tomas Acuna-Ruz et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Human footprint in the abyss: 30 year records of deep-sea plastic debris
Sanae Chiba et al.
MARINE POLICY (2018)
Improving Transfer Learning and Squeeze-and-Excitation Networks for Small-Scale Fine-Grained Fish Image Classification
Chenchen Qiu et al.
IEEE ACCESS (2018)
Marine litter in submarine canyons of the Bay of Biscay
Inge M. J. van den Beld et al.
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Ioannou et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Plastic waste in the marine environment: A review of sources, occurrence and effects
W. C. Li et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2016)
Applicability of SAR to Marine Debris Surveillance After the Great East Japan Earthquake
Motofumi Arii et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Debris in the deep: Using a 22-year video annotation database to survey marine litter in Monterey Canyon, central California, USA
Kyra Schlining et al.
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS (2013)
Multiview, Broadband Acoustic Classification of Marine Fish: A Machine Learning Framework and Comparative Analysis
Paul L. D. Roberts et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2011)
Binary plankton image classification
Xiaoou Tang et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2006)
Recognizing plankton images from the shadow image particle profiling evaluation recorder
T Luo et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)