Výsledky vyhledávání - (("instance segmentation algorithm") OR ("instalacie segmentation algorithm"))~

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

Autoři: Yuan Fang Yangyang Liu Ya Feng a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/6a1edefeae5147b7865a261c1e01f364

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

Autoři: JiaHao Wang Yongqiang Wang Congling Zhou a další

Zdroj: The Visual Computer. 41:7939-7950

Dam Crack Instance Segmentation Algorithm Based on Improved YOLOv8

Autoři: Shuaisen Ma Mingyue Xu Weiwu Feng

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

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

Přístupová URL adresa: https://doaj.org/article/5c25dd8dbaf3423298e8e07bf382ec08

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

Autoři: Hoang M. Nguyen Sydney Gyurek Russell Mierop a další

Zdroj: The Plant Phenome Journal. 8

Instance Segmentation Algorithm Based on Improved YoloV8

Autoři: Shen Weiquan Chen Quan Liu Bingheng a další

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

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

Autoři: Zhe Li Tao Xue Jie Li a další

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

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

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

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

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/bab509dabc2746af908a2c89fcadb094

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

Autoři: Meihua Gu Xiaoxiao Dong Wei Hua

Zdroj: Signal, Image and Video Processing. 19

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

Autoři: Shunong Tang Xuebo Jin Yuting Bai a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819617760

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

Autoři: Rustia, D.J. Jansen, G.A. Hageraats, S. a další

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

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

Přístupová URL adresa: 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

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

Autoři: Linlin Ma Jianwei Zhang Zengyu Cai a další

Zdroj: Digital Signal Processing. 166:105402

An industrial carbon block instance segmentation algorithm based on improved YOLOv8

Autoři: Runjie Shi Zhengbao Li Zewei Wu a další

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

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

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

Lightweight Instance Segmentation Algorithm Based on Knowledge Distillation

Zdroj: Academic Journal of Computing & Information Science. 8

Instance segmentation algorithm of electronic components based on improved YOLOv5

Autoři: Yining YANG Honglei WEI

Zdroj: Journal of Measurement Science and Instrumentation. 15:23-32

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

Autoři: Youqing Chen Hang Liu Lun Wang a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/d76b3d769fb5489fba6501fab8741d1a

3D-INSEG: A 3D Instance Segmentation Algorithm for Extended Object Tracking

Autoři: Nicolás Fierro Martin Adams Leonardo Cament

Zdroj: 2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS). :704-711

Thermal Fault Diagnosis of Power Equipment through Improved Instance Segmentation Algorithm and Deep Neural Network Temperature Fitting

Autoři: Zhigang Chen Chaoliang Qi Wei Jin a další

Zdroj: 2023 3rd International Conference on New Energy and Power Engineering (ICNEPE). :257-263

Semi-supervised instance segmentation algorithm based on transfer learning

Autoři: Bing Liu Ren Yi Zhongquan Yu a další

Zdroj: Nondestructive Testing and Evaluation. 39:185-203

FlySeg: an Automated Volumetric Instance Segmentation Algorithm for Dense Cell Populations in Drosophila Melanogaster Nervous System

Autoři: Andrea Vaccari Mark Dombrovski

Zdroj: 2023 57th Asilomar Conference on Signals, Systems, and Computers. :1474-1478

YOLOv8-seg-CP: a lightweight instance segmentation algorithm for chip pad based on improved YOLOv8-seg model

Autoři: Zongjian Zhang Yanli Zou Yufei Tan a další

Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

Témata: Artificial intelligence, 0209 industrial biotechnology, YOLOv8-seg, Science, Chip pad, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Deep learning, 02 engineering and technology, Machine vision, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39532990
https://doaj.org/article/c069b0f4df894ab9b85339b7606ef287