Výsledky vyhľadávania - "semantic segmentation"

Efficient Fine-Grained Segmentation and Histological Classification of Colorrectal polyps in White-Light Colonoscopy

Autori: Tudela Barroso, Yael

Thesis Advisors: Bernal del Nozal, Jorge

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Càncer colorectal, Colorectal cancer, Cáncer colorectal, Segmentació semantica, Semantic segmentation, Segmentación semántica, Classificació histològica, Histology classification, Clasificación histológica, Tecnologies

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/695895

EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery

Autori: Zhou, Yejian Wang, Yachen Su, Jie a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:5878-5892

Predmety: Optical sensors, Optical imaging, Remote sensing, Feature extraction, Accuracy, Buildings, Biomedical optical imaging, Decoding, Computational modeling, Remote sensing image interpretation, segment anything, semantic segmentation, symmetric multimodal

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-361297
https://doi.org/10.1109/JSTARS.2025.3531422

On Considering Semantics for Multi-image Processing

Autori: Xue, Danna

Thesis Advisors: Herranz Arribas, Luis, Zhang , Yanning, Vázquez i Corral, Javier, Baldrich i Caselles, Ramon

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Aprenentatge profund, Deep learning, Aprendizaje profundo, Segmentació semàntica, SEmantic segmentation, Segmentación semántica, Restauració d'imatges, Image restoration, Restauración de imágenes, Tecnologies

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/692144

An autonomous navigation method for field phenotyping robot based on ground-air collaboration

Autori: Zikang Zhang Zhengda Li Meng Yang a ďalší

Zdroj: Artificial Intelligence in Agriculture, Vol 15, Iss 4, Pp 610-621 (2025)

Predmety: Phenotyping robot, Agriculture, Autonomous navigation, Semantic segmentation, Path planning, Ground-air collaboration

Prístupová URL adresa: https://doaj.org/article/c8335e384abf4e99b0963cc34a447782

Leak detection using thermal imagery: Deep learning versus traditional computer vision state-of-the-art

Autori: Elena Vollmer Julian Ruck Rebekka Volk a ďalší

Zdroj: ISPRS Journal of Photogrammetry and Remote Sensing. 228:505-518

Predmety: District heating systems, Thermal imagery, Transformers, Anomaly detection, Semantic segmentation, Unmanned aircraft systems

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds

Autori: Lassi Ruoppa Oona Oinonen Josef Taher a ďalší

Prispievatelia: Lassi Ruoppa Oona Oinonen Josef Taher a ďalší

Zdroj: ISPRS Journal of Photogrammetry and Remote Sensing. 228:694-722

Predmety: FOS: Computer and information sciences, LiDAR, Computer Vision and Pattern Recognition (cs.CV), Leaf–wood separation, Multispectral point cloud, Computer Science - Computer Vision and Pattern Recognition, Unsupervised deep learning, Airborne laser scanning (ALS), Semantic segmentation

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2502.06227
https://aaltodoc.aalto.fi/handle/123456789/138385

Transfer Learning Strategies for the Enhancement of Point Cloud Semantic Segmentation Processes in Landscape Heritage Contexts

Autori: Cappellazzo,Marco Patrucco,Giacomo Spano,Antonia

Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :47-55

Predmety: Airborne LiDAR, Deep Learning, Semantic Segmentation, Landscape Heritage, Urban Legacies, Fine-tuning, Transfer Learning

A Roman Carved Tale Modelled in 3D and Interpreted with AI

Autori: Gabriele Mazzacca Andrea Sterpin Simone Rigon a ďalší

Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :253-260

Predmety: 3D Modelling, Photogrammetry, Multimodal Large Language Models, Semantic Segmentation

Prístupová URL adresa: https://hdl.handle.net/11392/2600434

SBp-UNet: balancing efficiency and accuracy in CNNs with application to pedestrian segmentation

Autori: Lahgazi, Mohamed Jaouad Mohaoui, Souad Hakim, Abdelilah a ďalší

Zdroj: EURASIP Journal on Image and Video Processing. 2025(1)

Predmety: CNN compression, Fire units, Feature reuse, Bypass connections, Semantic segmentation, Pedestrian segmentation

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-125039
https://doi.org/10.1186/s13640-025-00667-2

Advanced deep learning–based approaches for semantic segmentation in precise landslide detection and susceptibility assessment

Autori: Rezaie, Fatemeh Eghbali, Mahdi Panahi, Mahdi a ďalší

Zdroj: Ecological Informatics. 92

Predmety: Deep learning, Landslide susceptibility mapping, Semantic segmentation, Sentinel-2, Taiwan

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-372359
https://doi.org/10.1016/j.ecoinf.2025.103447

Uncertainty quantification for LiDAR-based maps of ditches and natural streams

Autori: Westphal, Florian Lidberg, W. Busarello, M. D. S. T. a ďalší

Zdroj: Environmental Modelling & Software. 191

Predmety: Conformal prediction, LiDAR, Monte Carlo dropout, Semantic segmentation, Small-scale hydrology, Uncertainty quantification, Conformal predictions, Correlation coefficient, Natural streams, Remote sensing applications, Small scale, Uncertainty quantifications

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-67780
https://doi.org/10.1016/j.envsoft.2025.106488

Automatic detection of ditches and natural streams from digital elevation models using deep learning

Autori: Busarello, M. D. S. T. Ågren, A.M. Westphal, Florian a ďalší

Zdroj: Computers & Geosciences. 196

Predmety: Deep learning, Ditches, LiDAR, Semantic segmentation, Streams, Mapping, Rivers, Automatic Detection, Digital elevation model, Ditch, Natural streams, Performance, Stream, Stream channels

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-67215
https://doi.org/10.1016/j.cageo.2025.105875

Early-Exit Criteria for Edge Semantic Segmentation

Autori: Gilbert, Mateus Pacheco, Roberto Couto, Rodrigo a ďalší

Prispievatelia: Gilbert, Mateus Pacheco, Roberto Couto, Rodrigo a ďalší

Zdroj: 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). :1-6

Predmety: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], EE-DNN edge/cloud semantic segmentation, edge/cloud, EE-DNN, [INFO] Computer Science [cs], semantic segmentation

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04963398v1

Automated 3D object recognition in underwater scenarios for manipulation

Autori: Himri, Khadidja

Prispievatelia: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors, University/Department: Universitat de Girona. Institut de Recerca en Visió per Computador i Robòtica

Thesis Advisors: Ridao Rodríguez, Pere, Grácias, Nuno Ricardo Estrela

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Reconeixement d'objectes 3D, Reconocimiento de objetos 3D, 3D object recognition, Vehicles submarins autònoms, Vehículos submarinos autónomos, Autonomous underwater vehicles (AUV), Núvols de punts, Nubes de puntos, Point clouds, Escàner làser, Escáner láser, Laser scanner, Segmentació semàntica, Segmentación semántica, Semantic segmentation, Probabilitat bayesiana, Probabilidad bayesiana, Bayesian probability, Pipeline detection, Interdistance Joint Compatibility Branch and Bound (IJCBB), Simultaneous localization and mapping (SLAM), Descriptors globals, Descriptores globales, Global descriptors, Intervencions submarines, Intervenciones submarinas, Underwater interventions

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/673811

Prototypical Progressive Alignment and Reweighting for Generalizable Semantic Segmentation

Autori: Zhang, Yuhang Zhang, Zhengyu Liao, Muxin a ďalší

Prispievatelia: Zhang, Yuhang Zhang, Zhengyu Liao, Muxin a ďalší

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 26:13065-13081

Predmety: FOS: Computer and information sciences, Translation, Ellipsoids, [SPI] Engineering Sciences [physics], Computer Vision and Pattern Recognition (cs.CV), Object recognition, Semantic segmentation, Semantics, Electronic mail, Information processing, Training, Prototypes, Computer Vision and Pattern Recognition, Visualization

Prístupová URL adresa: http://arxiv.org/abs/2507.11955

Enhanced deep-style interpreter for automatic synthesis of annotated medical images

Autori: Marcos Sergio Pacheco dos Santos Lima Junior Juan Miguel Ortiz-de-Lazcano-Lobato José David Fernández-Rodríguez a ďalší

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Predmety: semi-supervised learning, Aprendizaje automatico, Aprendizaje automático (Inteligencia artificial), Redes neuronales artificiales, Reconocimiento de formas (Informática), Sistemas de imágenes en medicina, Deep learning, Visión por ordenador, Generative adversarial network, Semantic segmentation

Prístupová URL adresa: https://hdl.handle.net/10630/39705

Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments

Autori: Ning Chen Dong Wei Dongsheng Lin a ďalší

Zdroj: Alexandria Engineering Journal, Vol 127, Iss, Pp 606-618 (2025)

Predmety: Laser vision fusion, Semantic simultaneous localisation and mapping (SLAM), Point clouds, TA1-2040, Engineering (General). Civil engineering (General), Semantic segmentation

Prístupová URL adresa: https://doaj.org/article/48fd41bcce3243f0803b1df23b3f3462

Evaluation of Semi-supervised Semantic Segmentation for Remote Sensing, Medical Imaging, and Machine Vision Settings

Autori: S. Landgraf J. Huber M. Hillemann a ďalší

Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-G-2025, Pp 527-534 (2025)

Predmety: Remote Sensing, Technology, Medical Imaging, Machine Vision, Applied optics. Photonics, Semi-supervised Learning, Semantic Segmentation, TA1-2040, Engineering (General). Civil engineering (General), TA1501-1820

Popis súboru: application/pdf

Prístupová URL adresa: https://isprs-annals.copernicus.org/articles/X-G-2025/527/2025/
https://doaj.org/article/e6c740ac6132452cae4b7f54f1cc855b

A CBAM-Enhanced UNetFormer for Semantic Segmentation of Wheat Yellow-Rust Disease Using Multispectral Remote Sensing Images

Autori: İrem Ülkü

Zdroj: Volume: 37, Issue: 2133-143
International Journal of Advances in Engineering and Pure Sciences

Predmety: Deep Learning, semantic segmentation, remote sensing, multispectral images, Wheat yellow-rust disease, Derin Öğrenme, Semantic segmentation, Remote sensing, Multispectral images

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/jeps/issue/92494/1623086

CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis

Autori: Kuriyal, Abhishek Vincent, Elliot Aubry, Mathieu a ďalší

Prispievatelia: Kuriyal, Abhishek Vincent, Elliot Aubry, Mathieu a ďalší

Zdroj: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2185-2194

Predmety: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Change detection, Spatial domain shift, Satellite images, Domain generalization, Classification, Semantic segmentation

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2504.19737
https://hal.science/hal-05121438v1
https://hal.science/hal-05121438v1/document