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相关论文: Large-scale Detection of Marine Debris in Coastal …

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Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting water quality. Its accurate assessment is crucial for…

计算机视觉与模式识别 · 计算机科学 2024-01-09 Francesca Razzano , Francesco Mauro , Pietro Di Stasio , Gabriele Meoni , Marco Esposito , Gilda Schirinzi , Silvia Liberata Ullo

Typically, the detection of marine debris relies on in-situ campaigns that are characterized by huge human effort and limited spatial coverage. Following the need of a rapid solution for the detection of floating plastic, methods based on…

计算机视觉与模式识别 · 计算机科学 2024-08-20 Muhammad Alì , Francesca Razzano , Sergio Vitale , Giampaolo Ferraioli , Vito Pascazio , Gilda Schirinzi , Silvia Ullo

Currently, a significant amount of research has been done in field of Remote Sensing with the use of deep learning techniques. The introduction of Marine Debris Archive (MARIDA), an open-source dataset with benchmark results, for marine…

计算机视觉与模式识别 · 计算机科学 2022-10-18 Azhan Mohammed

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

计算机视觉与模式识别 · 计算机科学 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

Marine debris is a problem both for the health of marine environments and for the human health since tiny pieces of plastic called "microplastics" resulting from the debris decomposition over the time are entering the food chain at any…

计算机视觉与模式识别 · 计算机科学 2023-03-07 Federico Zocco , Ching-I Huang , Hsueh-Cheng Wang , Mohammad Omar Khyam , Mien Van

Deep learning techniques have been explored within the marine litter problem for approximately 20 years but the majority of the research has developed rapidly in the last five years. We provide an in-depth, up to date, summary and analysis…

计算机视觉与模式识别 · 计算机科学 2024-08-31 Zoe Moorton , Zeyneb Kurt , Wai Lok Woo

Underwater surveys provide long-term data for informing management strategies, monitoring coral reef health, and estimating blue carbon stocks. Advances in broad-scale survey methods, such as robotic underwater vehicles, have increased the…

计算机视觉与模式识别 · 计算机科学 2024-11-19 Scarlett Raine , Frederic Maire , Niko Suenderhauf , Tobias Fischer

Plastic pollution is a critical environmental issue, and detecting and monitoring plastic litter is crucial to mitigate its impact. This paper presents the methodology of mapping street-level litter, focusing primarily on plastic waste and…

计算机视觉与模式识别 · 计算机科学 2024-01-29 Sriram Reddy Mandhati , N. Lakmal Deshapriya , Chatura Lavanga Mendis , Kavinda Gunasekara , Frank Yrle , Angsana Chaksan , Sujit Sanjeev

Plastic pollution presents an escalating global issue, impacting health and environmental systems, with micro- and nanoplastics found across mediums from potable water to air. Traditional methods for studying these contaminants are…

计算机视觉与模式识别 · 计算机科学 2024-09-23 Hadi Rezvani , Navid Zarrabi , Ishaan Mehta , Christopher Kolios , Hussein Ali Jaafar , Cheng-Hao Kao , Sajad Saeedi , Nariman Yousefi

Microplastics, defined as plastic particles smaller than 5 millimeters, have become a pervasive environmental contaminant that accumulates on beaches due to wind patterns and tidal forcing. Detecting microplastics and mapping their…

机器人学 · 计算机科学 2025-08-06 Hassan Iqbal , Kobiny Rex , Joseph Shirley , Carlos Baiz , Christian Claudel

Marine debris poses significant harm to marine life due to substances like microplastics, polychlorinated biphenyls, and pesticides, which damage habitats and poison organisms. Human-based solutions, such as diving, are increasingly…

计算机视觉与模式识别 · 计算机科学 2025-01-29 Abi Aryaza , Novanto Yudistira , Tibyani

Accurate detection and segmentation of marine debris is important for keeping the water bodies clean. This paper presents a novel dataset for marine debris segmentation collected using a Forward Looking Sonar (FLS). The dataset consists of…

计算机视觉与模式识别 · 计算机科学 2021-08-17 Deepak Singh , Matias Valdenegro-Toro

The next generation of wide-field deep astronomical surveys will deliver unprecedented amounts of images through the 2020s and beyond. As both the sensitivity and depth of observations increase, more blended sources will be detected. This…

天体物理仪器与方法 · 物理学 2024-12-02 G. M. Merz , Y. Liu , C. J. Burke , P. D. Aleo , X. Liu , M. C. Kind , V. Kindratenko , Y. Liu

Coastal pollution is a pressing global environmental issue, necessitating scalable and automated solutions for monitoring and management. This study investigates the efficacy of the Real-Time Detection Transformer (RT-DETR), a…

计算机视觉与模式识别 · 计算机科学 2025-08-22 Miftahul Huda , Arsyiah Azahra , Putri Maulida Chairani , Dimas Rizky Ramadhani , Nabila Azhari , Ade Lailani

Marine pollution is a growing worldwide concern, affecting health of marine ecosystems, human health, climate change, and weather patterns. To reduce underwater pollution, it is critical to have access to accurate information about the…

分布式、并行与集群计算 · 计算机科学 2020-05-20 Huber Flores , Naser Hossein Motlagh , Agustin Zuniga , Mohan Liyanage , Monica Passananti , Sasu Tarkoma , Moustafa Youssef , Petteri Nurmi

Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change, habitat degradation, and fishing pressure. This information…

计算机视觉与模式识别 · 计算机科学 2022-04-19 Alzayat Saleh , Marcus Sheaves , Mostafa Rahimi Azghadi

Marine debris detection for ocean robot is crucial for ecological protection, yet performance is often degraded by low-quality images with blur, complex backgrounds, and small targets. To address these challenges, we propose YOLO-MD, an…

计算机视觉与模式识别 · 计算机科学 2026-05-11 Yuyang Li , Jiashu Han , Yinyi Lai , Wenbin Kang , Zenghui Liu

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecological data is prohibitive in terms of time and cost, thus…

计算机视觉与模式识别 · 计算机科学 2020-09-22 Scarlett Raine , Ross Marchant , Peyman Moghadam , Frederic Maire , Brett Kettle , Brano Kusy

The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and human activities such as navigation and recreation. The…

计算机视觉与模式识别 · 计算机科学 2025-10-29 Gauthier Grimmer , Romain Wenger , Clément Flint , Germain Forestier , Gilles Rixhon , Valentin Chardon

The complex marine environment exacerbates the challenges of object detection manifold. Marine trash endangers the aquatic ecosystem, presenting a persistent challenge. Accurate detection of marine deposits is crucial for mitigating this…

计算机视觉与模式识别 · 计算机科学 2024-08-05 Muhammad Ali , Salman Khan