Robotics · Computer Science
OysterSim: Underwater Simulation for Enhancing Oyster Reef Monitoring
Xiaomin Lin, Nitesh Jha, Mayank Joshi, Nare Karapetyan +2
2022-12-23
Computer Vision and Pattern Recognition · Computer Science
OysterNet: Enhanced Oyster Detection Using Simulation
Xiaomin Lin, Nitin J. Sanket, Nare Karapetyan, Yiannis Aloimonos
2024-09-18
Computer Vision and Pattern Recognition · Computer Science
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin, Vivek Mange, Arjun Suresh, Bernhard Neuberger +10
2025-03-06
Artificial Intelligence · Computer Science
Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
Brendan Campbell, Alan Williams, Kleio Baxevani, Alyssa Campbell +10
2025-05-07
Computer Vision and Pattern Recognition · Computer Science
Assessing fish abundance from underwater video using deep neural networks
Ranju Mandal, Rod M. Connolly, Thomas A. Schlacherz, Bela Stantic
2018-07-17
Computer Vision and Pattern Recognition · Computer Science
Open-Set Plankton Recognition
Joona Kareinen, Annaliina Skyttä, Tuomas Eerola, Kaisa Kraft +4
2025-03-17
Populations and Evolution · Quantitative Biology
Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems
Alessandro Pluchino, Andrea Rapisarda, Vito Latora
2009-11-13
Computer Vision and Pattern Recognition · Computer Science
Deep object detection for waterbird monitoring using aerial imagery
Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo +10
2022-10-17
Computer Vision and Pattern Recognition · Computer Science
Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management
Mingze Xi, Ashfaqur Rahman, Chuong Nguyen, Stuart Arnold +1
2022-10-17
Computer Vision and Pattern Recognition · Computer Science
Advancing Oyster Phenotype Segmentation with Multi-Network Ensemble and Multi-Scale mechanism
Wenli Yang, Yanyu Chen, Andrew Trotter, Byeong Kang
2025-01-22
Computer Vision and Pattern Recognition · Computer Science
Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV
Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne, Irfan Hussain
2023-08-29
Computer Vision and Pattern Recognition · Computer Science
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Yuyan Chen, Nico Lang, B. Christian Schmidt, Aditya Jain +4
2025-11-18
Computer Vision and Pattern Recognition · Computer Science
A deep neural network for multi-species fish detection using multiple acoustic cameras
Guglielmo Fernandez Garcia, François Martignac, Marie Nevoux, Laurent Beaulaton +1
2022-08-30
Computer Vision and Pattern Recognition · Computer Science
Vision meets algae: A novel way for microalgae recognization and health monitor
Shizheng Zhou, Juntao Jiang, Xiaohan Hong, Yan Hong +1
2024-08-27
Computer Vision and Pattern Recognition · Computer Science
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
C. Chalmers, P. Fergus, Serge Wich, Aday Curbelo Montanez
2019-10-17
Robotics · Computer Science
DREAM: Domain-aware Reasoning for Efficient Autonomous Underwater Monitoring
Zhenqi Wu, Abhinav Modi, Angelos Mavrogiannis, Kaustubh Joshi +5
2026-02-11
Robotics · Computer Science
3D Water Quality Mapping using Invariant Extended Kalman Filtering for Underwater Robot Localization
Kaustubh Joshi, Tianchen Liu, Alan Williams, Matthew Gray +2
2025-02-21
Signal Processing · Electrical Eng. & Systems
IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support
D. Dhinakaran, S. Gopalakrishnan, M. D. Manigandan, T. P. Anish
2023-11-09
Computer Vision and Pattern Recognition · Computer Science
ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations
Fukun Liu, Adam T. Greer, Gengchen Mai, Jin Sun
2025-05-30
Computer Vision and Pattern Recognition · Computer Science
Livestock Fish Larvae Counting using DETR and YOLO based Deep Networks
Daniel Ortega de Carvalho, Luiz Felipe Teodoro Monteiro, Fernanda Marques Bazilio, Gabriel Toshio Hirokawa Higa +1
2024-08-12