Fusion-Based Damage Segmentation for Multimodal Building Façade Images from an End-to-End Perspective by Pujin Wang, Jiehui Wang, Qiong Liu, Lin Fang, Jie Xiao

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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision by Jui-Sheng Chou, Chi-Yun Liu, Pin-Jun Guo

“…Explicitly designed for detecting underside deterioration in composite bridges, this system provides bridge management authorities and construction firms with a comprehensive tool. …”
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DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow by Lang He, Shiyun Li, Junting Qiu, Chenhaomin Zhang

“…To mitigate errors caused by missed detections or motion blur, a motion frame propagation method is employed. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…To address this issue, this paper introduces Ship Contour, a real-time segmentation method for ship instances based on contours that detects ship targets using an improved CenterNet algorithm. …”
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An End-to-End Particle Gradation Detection Method for Earth–Rockfill Dams from Images Using an Enhanced YOLOv8-Seg Model by Yu Tang, Shixiang Zhao, Hui Qin, Pan Ming, Tianxing Fang, Jinyuan Zeng

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Multi-Scale Localization Grouping Weighted Weakly Supervised Video Instance Segmentation and Air Cruiser Application by Yunnan Deng, Yaomin Liu, Yinhui Zhang, Zifen He

“…Implementing video instance segmentation (VIS) to detect, segment, and track targets based on vision system is important research for air cruiser. …”
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Estimating Snow Coverage Percentage on Solar Panels Using Drone Imagery and Machine Learning for Enhanced Energy Efficiency by Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson

Subjects: “…snow detection…”
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Underwater instance segmentation: a method based on channel spatial cross-cooperative attention mechanism and feature prior fusion by Zhiqian He, Lijie Cao, Lijie Cao, Xiaoqing Xu, Jianhao Xu

“…However, due to the inherent unique optical characteristics and high noise in underwater imagery, existing underwater instance segmentation models struggle to accurately capture the global and local feature information of objects, leading to generally lower detection accuracy in underwater instance segmentation models. …”
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FCB-YOLOv8s-Seg: A Malignant Weed Instance Segmentation Model for Targeted Spraying in Soybean Fields by Zishang Yang, Lele Wang, Chenxu Li, He Li

“…The detection results in different scenes show that the FCB-YOLOv8s-Seg model performs well in fine-grained feature segmentation in complex scenes. …”
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Open-source computational pipeline flags instances of acute respiratory distress syndrome in mechanically ventilated adult patients by Félix L. Morales, Feihong Xu, Hyojun Ada Lee, Helio Tejedor Navarro, Meagan A. Bechel, Eryn L. Cameron, Jesse Kelso, Curtis H. Weiss, Luís A. Nunes Amaral

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Statistical Analysis of Medium‐Scale Traveling Ionospheric Disturbances Over Japan Based on Deep Learning Instance Segmentation by Peng Liu, Tatsuhiro Yokoyama, Weizheng Fu, Mamoru Yamamoto

“…Therefore, this research proposes a real‐time processing algorithm for dTEC maps based on Mask Region‐Convolutional Neural Network (R‐CNN) model of deep learning instance segmentation to detect wavelike perturbations intelligently with an accuracy of about 80% and a processing speed of about 8 fps. …”
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Instance segmentation of oyster mushroom datasets: A novel data sampling methodology for training and evaluation of deep learning models by Christos Charisis, Meiqing Wang, Dimitrios Argyropoulos

“…Also, the study aims to examine the ability of five feature extraction backbone configurations of Mask R-CNN: i) CNN-based (ResNet50, ResNeXt101 and ConvNeXt) and ii) Transformer-based (Swin small and tiny) to accurately detect and segment single mushroom instances within the cluster in the images. …”
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing by Pouya Sohrabipour, Chaitanya Kumar Reddy Pallerla, Amirreza Davar, Siavash Mahmoudi, Philip Crandall, Wan Shou, Yu She, Dongyi Wang

“…The well-registered depth data generated were integrated with the RGB images and sent to the instance segmentation model for individual chicken detection and identification. …”
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3D Façade Element Extraction from Image-based Instance Segmentation and Scale-Invariant Object Contour Points by F. Frank, V. Shah, S. Worbis, L. Hoegner

“…The images are processed using instance segmentation with YOLOv8 and SAM, complemented by classical and enhanced algorithms for line and edge detection. …”
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An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals by Zeljana Grbovic, Marko Panic, Vladan Filipovic, Sanja Brdar, Hendrik de Villiers, Manon Mensink, Aneesh Chauhan

“…This demonstrates the potential of integrating spectral information encoding with trained deep learning-based instance segmentation models to enable robust and accurate transfer learning for automated agricultural food quality assessments.…”
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Context-aware and boundary-optimized model for road marking instance segmentation using MLS point cloud intensity images by Dehui Li, Tao Liu, Ping Du, Tianen Ma, Shuangtong Liu

“…The model accurately detects and segments eight categories of road markings, achieving 77.1% APb and 59.8% APm on Test Set 1.…”
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Deep Learning-Based Instance Segmentation of Galloping High-Speed Railway Overhead Contact System Conductors in Video Images by Xiaotong Yao, Huayu Yuan, Shanpeng Zhao, Wei Tian, Dongzhao Han, Xiaoping Li, Feng Wang, Sihua Wang

“…This work expands upon the YOLO11-seg model and introduces an instance segmentation approach for galloping video and image sensor data of OCS conductors. …”
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Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images by Qilin Jin, Qingbang Han, Jianhua Qian, Liujia Sun, Kao Ge, Jiayu Xia

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Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation by Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Daniel Guerreiro e Silva

“…This study proposes a novel offshore wind farm detection methodology integrating Sentinel-1 SAR time series, a time-shift augmentation strategy, and semantic-to-instance segmentation transformation. …”
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DBA-RTMDet: A High-Precision and Real-Time Instance Segmentation Method for Identification of Damaged Buildings in Postearthquake UAV Imagery by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu, Yuanhao Wang

“…Therefore, we propose a high-precision and real-time damaged building instance segmentation model, DBA-RTMDet, based on the RTMDet framework. …”
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