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Marine visual understanding is essential for monitoring and protecting marine ecosystems, enabling automatic and scalable biological surveys. However, progress is hindered by limited training data and the lack of a systematic task…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Yuk-Kwan Wong , Haixin Liang , Zeyu Ma , Yiwei Chen , Ziqiang Zheng , Rinaldi Gotama , Pascal Sebastian , Lauren D. Sparks , Sai-Kit Yeung

Visual Object Tracking (VOT) is a fundamental task with widespread applications in autonomous navigation, surveillance, and maritime robotics. Despite significant advances in generic object tracking, maritime environments continue to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Ahsan Baidar Bakht , Muhayy Ud Din , Sajid Javed , Irfan Hussain

Planktonic organisms are of fundamental importance to marine ecosystems: they form the basis of the food web, provide the link between the atmosphere and the deep ocean, and influence global-scale biogeochemical cycles. Scientists are…

Computer Vision and Pattern Recognition · Computer Science 2015-10-06 Eric C. Orenstein , Oscar Beijbom , Emily E. Peacock , Heidi M. Sosik

Marine microalgae are widespread in the ocean and play a crucial role in the ecosystem. Automatic identification and location of marine microalgae in microscopy images would help establish marine ecological environment monitoring and water…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Shizheng Zhou , Juntao Jiang , Xiaohan Hong , Yan Hong , Pengcheng Fu

This paper considers open-set recognition (OSR) of plankton images. Plankton include a diverse range of microscopic aquatic organisms that have an important role in marine ecosystems as primary producers and as a base of food webs. Given…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Joona Kareinen , Annaliina Skyttä , Tuomas Eerola , Kaisa Kraft , Lasse Lensu , Sanna Suikkanen , Maiju Lehtiniemi , Heikki Kälviäinen

The ability to recognize objects is an essential skill for a robotic system acting in human-populated environments. Despite decades of effort from the robotic and vision research communities, robots are still missing good visual perceptual…

Robotics · Computer Science 2018-05-23 Mohammad Reza Loghmani , Barbara Caputo , Markus Vincze

Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers identifying individual salmon is imperative to their research.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-21 Bjørn Magnus Mathisen , Kerstin Bach , Espen Meidell , Håkon Måløy , Edvard Schreiner Sjøblom

Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories. In contrast, the natural world is heavily imbalanced, as some species are more abundant and easier to…

Computer Vision and Pattern Recognition · Computer Science 2018-04-12 Grant Van Horn , Oisin Mac Aodha , Yang Song , Yin Cui , Chen Sun , Alex Shepard , Hartwig Adam , Pietro Perona , Serge Belongie

High-quality training data is essential for enhancing the robustness of object detection models. Within the maritime domain, obtaining a diverse real image dataset is particularly challenging due to the difficulty of capturing sea images…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Martin Tran , Jordan Shipard , Hermawan Mulyono , Arnold Wiliem , Clinton Fookes

Nematode worms are one of most abundant metazoan groups on the earth, occupying diverse ecological niches. Accurate recognition or identification of nematodes are of great importance for pest control, soil ecology, bio-geography, habitat…

Quantitative Methods · Quantitative Biology 2021-03-16 Xuequan Lu , Yihao Wang , Sheldon Fung , Xue Qing

Each year, thousands of people learn new visual categorization tasks -- radiologists learn to recognize tumors, birdwatchers learn to distinguish similar species, and crowd workers learn how to annotate valuable data for applications like…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Neehar Kondapaneni , Pietro Perona , Oisin Mac Aodha

In video surveillance as well as automotive applications, so-called fisheye cameras are often employed to capture a very wide angle of view. As such cameras depend on projections quite different from the classical perspective projection,…

Image and Video Processing · Electrical Eng. & Systems 2022-12-01 Andrea Eichenseer , André Kaup

Marine ecosystems are vital for the planet's health, but human activities such as climate change, pollution, and overfishing pose a constant threat to marine species. Accurate classification and monitoring of these species can aid in…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Kohav Dey , Krishna Bajaj , K S Ramalakshmi , Samuel Thomas , Sriram Radhakrishna

In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and remotely-operated or…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Levi Cai , Nathan E. McGuire , Roger Hanlon , T. Aran Mooney , Yogesh Girdhar

We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving objects, changing light and various weather conditions. By…

Marine object detection has gained prominence in marine research, driven by the pressing need to unravel oceanic mysteries and enhance our understanding of invaluable marine ecosystems. There is a profound requirement to efficiently and…

Computer Vision and Pattern Recognition · Computer Science 2023-10-04 Liang Haixin , Zheng Ziqiang , Ma Zeyu , Sai-Kit Yeung

Event cameras are ideal for object tracking applications due to their ability to capture fast-moving objects while mitigating latency and data redundancy. Existing event-based clustering and feature tracking approaches for surveillance and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-10 Stephanie Aelmore , Richard C. Ordonez , Shibin Parameswaran , Justin Mauger

Repair and maintenance of underwater structures as well as marine science rely heavily on the results of underwater object detection, which is a crucial part of the image processing workflow. Although many computer vision-based approaches…

Computer Vision and Pattern Recognition · Computer Science 2022-09-22 Radhwan Adnan Dakhil , Ali Retha Hasoon Khayeat

Marine mammals are increasingly vulnerable to human disturbance and climate change. Their diving behavior leads to limited visual access during data collection, making studying the abundance and distribution of marine mammals challenging.…

Phytoplankton is the basis of marine food webs, driving both ecological processes and global biogeochemical cycles. Despite their ecological and climatic significance, accurately simulating phytoplankton dynamics remains a major challenge…

Machine Learning · Computer Science 2026-02-05 Mahima Lakra , Ronan Fablet , Lucas Drumetz , Etienne Pauthenet , Elodie Martinez