Search Results - instance segmentation algorithm

Dam Crack Instance Segmentation Algorithm Based on Improved YOLOv8

Authors: Shuaisen Ma Mingyue Xu Weiwu Feng

Source: IEEE Access, Vol 13, Pp 84271-84283 (2025)

Subject Terms: instance segmentation, YOLOv8, deep learning, Electrical engineering. Electronics. Nuclear engineering, Dam crack detection, TK1-9971

Access URL: https://doaj.org/article/5c25dd8dbaf3423298e8e07bf382ec08

Lightweight Apple Instance Segmentation Algorithm Based on SSW-YOLOv11n for Complex Orchard Environments

Authors: HAN Wenkai, LI Tao, FENG Qingchun, CHEN Liping

Source: 智慧农业, Vol 7, Iss 5, Pp 114-123 (2025)

Subject Terms: deep learning, apple harvesting, lightweight design, instance segmentation, yolov11, Agriculture (General), S1-972, Technology (General), T1-995

File Description: electronic resource

Relation: https://www.smartag.net.cn/fileup/2096-8094/PDF/1758622027708-726524750.pdf; https://doaj.org/toc/2096-8094

Access URL: https://doaj.org/article/bab509dabc2746af908a2c89fcadb094

Research on persimmon fruit diameter accurate detection method based on improved RCNN instance segmentation algorithm

Authors: Yuan Fang Yangyang Liu Ya Feng et al.

Source: Frontiers in Plant Science, Vol 16 (2025)

Subject Terms: persimmon recognition, fruit diameter detection, Mask RCNN, instance segmentation algorithm, binarization, Plant culture, SB1-1110

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2025.1636727/full; https://doaj.org/toc/1664-462X

Access URL: https://doaj.org/article/6a1edefeae5147b7865a261c1e01f364

LF-RTMDet: an instance segmentation algorithm for real-time detection of water-filled barriers

Authors: JiaHao Wang Yongqiang Wang Congling Zhou et al.

Source: The Visual Computer. 41:7939-7950

Deployment and analysis of instance segmentation algorithm for in‐field yield estimation of sweet potatoes

Authors: Hoang M. Nguyen Sydney Gyurek Russell Mierop et al.

Source: The Plant Phenome Journal. 8

An industrial carbon block instance segmentation algorithm based on improved YOLOv8

Authors: Runjie Shi Zhengbao Li Zewei Wu et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Subject Terms: Carbon block instance segmentation, Science, Reinforce feature fusion, Medicine, YOLO, Industrial automation, Machine vision, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40059158
https://doaj.org/article/74e4ace92e40439a9ab5ddd32068d459

Instance Segmentation Algorithm Based on Improved YoloV8

Authors: Shen Weiquan Chen Quan Liu Bingheng et al.

Source: 2024 7th International Conference on Data Science and Information Technology (DSIT). :1-7

Research on Instance Segmentation Algorithm for Caged Chickens in Infrared Images Based on Improved Mask R-CNN

Authors: Youqing Chen Hang Liu Lun Wang et al.

Source: Sensors, Vol 25, Iss 19, p 6237 (2025)

Subject Terms: Mask R-CNN, caged chickens, instance segmentation, CBAM, AC-FPN, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/19/6237; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/d76b3d769fb5489fba6501fab8741d1a

Application of instance segmentation algorithm incorporating attention mechanism and BiFPN for sinter ore particle size recognition

Authors: Zhe Li Tao Xue Jie Li et al.

Source: Ironmaking & Steelmaking: Processes, Products and Applications. 51:1010-1022

Subject Terms: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Improved YOLOv8-based Algorithm for Instance Segmentation in Traffic Scenes

Authors: ZHAO Nannan, GAO Feichen

Source: Jisuanji gongcheng, Vol 51, Iss 1, Pp 198-207 (2025)

Subject Terms: yolov8 network, instance segmentation, efficient multi-scale attention, deformable convolution, loss function, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250122.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/d404057af3eb44d2bf5e35034c23b882

MaskDis R‐CNN: An instance segmentation algorithm with adversarial network for herd pigs

Authors: Shuqin Tu Qiantao Zeng Haofeng Liu et al.

Source: IET Image Processing, Vol 17, Iss 12, Pp 3488-3499 (2023)

Subject Terms: adversarial networks, QA76.75-76.765, MaskDis R‐CNN, instance segmentation, Photography, 0202 electrical engineering, electronic engineering, information engineering, 0401 agriculture, forestry, and fisheries, image recognition/overlapped pigs, Computer software, 04 agricultural and veterinary sciences, 02 engineering and technology, TR1-1050, computer vision

Access URL: https://doaj.org/article/023caf7161c74cd6a9bf641a8878c2ca

Enhanced SOLOv2: An Effective Instance Segmentation Algorithm for Densely Overlapping Silkworms.

Authors: Yuan J Li H Cheng C et al.

Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 12; Vol. 25 (18). Date of Electronic Publication: 2025 Sep 12.

Publication Type: Journal Article

Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

MeSH Terms: Bombyx*/physiology , Algorithms*, Animals

Clothing image instance segmentation algorithm based on improved Mask R-CNN

Authors: Meihua Gu Xiaoxiao Dong Wei Hua

Source: Signal, Image and Video Processing. 19

Instance Segmentation Algorithm of Urban Street Scene Based on Data Augmentation and Feature Enhancement

Authors: LI Chengyan CHE Zixuan ZHENG Qisen

Source: Journal of Harbin University of Science and Technology, Vol 29, Iss 02, Pp 25-32 (2024)

Subject Terms: Technology, feature extraction, Science, instance segmentation, solo algorithm, urban street scene, data augmentation

Access URL: https://doaj.org/article/e63fbaff738c4f6389b0bdf0b4b2ac57

YOLOv9-N: An Underwater Image Instance Segmentation Algorithm Based on YOLOv9 and Improved Non-local Modules

Authors: Shunong Tang Xuebo Jin Yuting Bai et al.

Source: Lecture Notes in Electrical Engineering ISBN: 9789819617760

Rapid tomato DUS trait analysis using an optimized mobile-based coarse-to-fine instance segmentation algorithm

Authors: Rustia, D.J. Jansen, G.A. Hageraats, S. et al.

Source: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). :634-642

Subject Terms: 2. Zero hunger, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Life Science

Access URL: https://research.wur.nl/en/publications/rapid-tomato-dus-trait-analysis-using-an-optimized-mobile-based-c
https://doi.org/10.1109/iccvw60793.2023.00070

A Regional Farming Pig Counting System Based on Improved Instance Segmentation Algorithm

Authors: ZHANG Yanqi ZHOU Shuo ZHANG Ning et al.

Source: 智慧农业, Vol 6, Iss 4, Pp 53-63 (2024)

Subject Terms: wechat mini program, yolov8, Agriculture (General), instance segmentation, pig counting, deep learning, T1-995, Technology (General), S1-972

Access URL: https://doaj.org/article/9e8da6fad96f487d9c6b248efc040d46

YOLOv8-TEA: Recognition Method of Tender Shoots of Tea Based on Instance Segmentation Algorithm

Authors: Wenbo Wang Yidan Xi Jinan Gu et al.

Source: Agronomy, Vol 15, Iss 6, p 1318 (2025)

Subject Terms: recognition method, instance segmentation, Agriculture, machine vision, high-quality tea

Access URL: https://doaj.org/article/adbba7730b5b42a9b651cf70d350fad5

Real-time instance segmentation algorithm based on mask activation and feature enhancement

Authors: Linlin Ma Jianwei Zhang Zengyu Cai et al.

Source: Digital Signal Processing. 166:105402

Automated Construction Site Monitoring Based on Improved YOLOv8-seg Instance Segmentation Algorithm

Authors: Ruihan Bai Mingkang Wang Zhiping Zhang et al.

Source: IEEE Access, Vol 11, Pp 139082-139096 (2023)

Subject Terms: construction site, Instance segmentation, YOLOv8, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/cedcc91a57bf40d5a417d2bf439ba367