Search Results - Multi-class object segmentation

Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation

Authors: Khan, Mariia Qiu, Yue Cong, Yuren et al.

Source: 2024 IEEE International Conference on Image Processing (ICIP). :582-588

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2403.10780

Multi-class object segmentation based on jointly integrating segment-level and image-level object priors

Authors: Tuozhong Yao Jiatao Song Liangxu Liu et al.

Source: 2016 IEEE International Conference on Information and Automation (ICIA). :1770-1775

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

Access URL: https://dblp.uni-trier.de/db/conf/icinfa/icinfa2016.html#YaoSAL16
https://ieeexplore.ieee.org/document/7832104/
http://ieeexplore.ieee.org/document/7832104/

Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation

Authors: Jie Zhou Han Hu Chuan Yu et al.

Source: IEEE Transactions on Image Processing. 22:4328-4340

Subject Terms: Subtraction Technique, Image Interpretation, Computer-Assisted, Photography, 0202 electrical engineering, electronic engineering, information engineering, Reproducibility of Results, 02 engineering and technology, Image Enhancement, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/23846473

Temporally consistent multi-class video-object segmentation with the Video Graph-Shifts algorithm

Authors: Albert Y. C. Chen Jason J. Corso

Source: 2011 IEEE Workshop on Applications of Computer Vision (WACV). :614-621

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.cse.buffalo.edu/%7Ejcorso/pubs/wmvc2011_vgs.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005711561
https://dblp.uni-trier.de/db/conf/wacv/wacv2011.html#ChenC11
http://ieeexplore.ieee.org/document/5711561/
https://ieeexplore.ieee.org/document/5711561/
http://dblp.uni-trier.de/db/conf/wacv/wacv2011.html#ChenC11

An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

Authors: Ankang Ji Alvin Wei Ze Chew Xiaolong Xue et al.

Source: Automation in Construction. 137:104187

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A novel MOSnet model for multi-object segmentation of medical images in micro-computed tomography.

Authors: Wang K Chen C Xiao Y et al.

Source: Biomedizinische Technik. Biomedical engineering [Biomed Tech (Berl)] 2025 Oct 07. Date of Electronic Publication: 2025 Oct 07.

Publication Type: Journal Article

Journal Info: Publisher: Walter de Gruyter Publishers Country of Publication: Germany NLM ID: 1262533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1862-278X (Electronic) Linking ISSN: 00135585 NLM ISO Abbreviation: Biomed Tech (Berl) Subsets: MEDLINE

Multi head attention based deep learning framework for waxberry fruit object segmentation from high resolution remote sensing images.

Authors: Vaghela, Rohan Sravya, N. Lal, Shyam et al.

Source: Scientific Reports; 10/29/2025, Vol. 15 Issue 1, p1-15, 15p

Subject Terms: IMAGE segmentation, FRUIT, COMPUTER vision, REMOTE-sensing images, DEEP learning

Multi-class Video Objects Segmentation Based on Conditional Random Fields

Authors: Zhiwei He Lijun Xu Wei Zhao et al.

Contributors: Zhiwei He Lijun Xu Wei Zhao et al.

Source: http://www.sensorsportal.com/HTML/DIGEST/january_2014/Vol_163/P_1803.pdf.

Subject Terms: Video object segmentation, Conditional random fields model, LogitBoost classifier, Constraint

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.7007; http://www.sensorsportal.com/HTML/DIGEST/january_2014/Vol_163/P_1803.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.7007
http://www.sensorsportal.com/HTML/DIGEST/january_2014/Vol_163/P_1803.pdf

Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments

Authors: Sapkota, Ranjan Ahmed, Dawood Karkee, Manoj

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2312.07935

Leveraging Prior Knowledge and Synthetic Data for Elevator Anomaly Object Segmentation.

Authors: Luo, Zhaoming Xu, Gang Ouyang, Wenjun et al.

Source: Electronics (2079-9292); May2025, Vol. 14 Issue 10, p1970, 17p

Subject Terms: ELEVATORS, PRIOR learning, WORKFLOW, GENERALIZATION, CAMERAS

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation

Authors: He, Along Wang, Kai Li, Tao et al.

Index Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2205.15720

Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments.

Authors: Sapkota, Ranjan Ahmed, Dawood Karkee, Manoj

Source: Artificial Intelligence in Agriculture; Sep2024, Vol. 13, p84-99, 16p

Subject Terms: ORCHARDS, AGRICULTURAL technology, IMAGE processing, AUTOMATION, MACHINE learning

Multi-Class Certainty Mapped Network for High Precision Segmentation of High-Altitude Imagery

Authors: Akgün, T. Oğuz, T.

Subject Terms: Uncertainty Aware, Segmentation, Natural Disaster, High-Altitude Imagery, Damage Assessment, Deep Learning

Relation: Proceedings of SPIE - The International Society for Optical Engineering -- Land Surface and Cryosphere Remote Sensing V 2024 -- 2 December 2024 through 4 December 2024 -- Kaohsiung -- 206336; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://doi.org/10.1117/12.3041825; https://hdl.handle.net/20.500.11851/12148; 13263; Q4

Availability: https://hdl.handle.net/20.500.11851/12148
https://doi.org/10.1117/12.3041825

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network

Authors: Rasha Alshawi Md Meftahul Ferdaus Mahdi Abdelguerfi et al.

Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 55:6723-6738

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2408.10181

GCNet: A Deep Learning Framework for Enhanced Grape Cluster Segmentation and Yield Estimation Incorporating Occluded Grape Detection with a Correction Factor for Indoor Experimentation.

Authors: Quiñones, Rubi Banu, Syeda Mariah Gultepe, Eren

Source: Journal of Imaging; Feb2025, Vol. 11 Issue 2, p34, 30p

Subject Terms: OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, AGRICULTURE, DEEP learning, FEATURE extraction, GRAPE yields, GRAPES

UNet Based on Multi-Object Segmentation and Convolution Neural Network for Object Recognition.

Authors: Almujally, Nouf Abdullah Chughtai, Bisma Riaz Mudawi, Naif Al et al.

Source: Computers, Materials & Continua; 2024, Vol. 80 Issue 1, p1563-1580, 18p

Subject Terms: CONVOLUTIONAL neural networks, OBJECT recognition (Computer vision), FEATURE extraction, FOURIER transforms, AUTONOMOUS vehicles

Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments

Authors: Ranjan Sapkota Dawood Ahmed Manoj Karkee

Subject Terms: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 02 engineering and technology, 15. Life on land

边缘-分割交叉引导的伪装目标检测网络. (Chinese)

Alternate Title: Edge-Segmentation Cross-Guided Camouflage Object Detection Network. (English)

Authors: 陈 鹏 李 旭 向道岸 et al.

Source: Journal of Frontiers of Computer Science & Technology; Apr2025, Vol. 19 Issue 4, p1001-1010, 10p

Multi-objects Detection and Segmentation for Scene Understanding Based on Texton Forest and Kernel Sliding Perceptron

Authors: Kibum Kim Abrar Ahmed Ahmad Jalal

Source: Journal of Electrical Engineering & Technology. 16:1143-1150

Subject Terms: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ui.adsabs.harvard.edu/abs/2021JEET...16.1143A/abstract
https://link.springer.com/article/10.1007/s42835-020-00650-z
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002691737

FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything.

Authors: El Ghazouali, Safouane Mhirit, Youssef Oukhrid, Ali et al.

Source: Sensors (14248220); May2024, Vol. 24 Issue 9, p2889, 18p

Subject Terms: OBJECT recognition (Computer vision), COMPUTER vision, CAMERAS, POSE estimation (Computer vision), COMPUTER systems