Výsledky vyhľadávania - "vision transformers"

Classifying Breast Lesions Using Ultrasound Images and Effective Pooling Techniques

Autori: Abdelhameed Hassanien Ahmed, Mohamed

Thesis Advisors: Puig Valls, Domènec Savi, Abdelnasser Mohamed Mahmoud, Mohamed

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Imatges d'ecografia, Transformadors de visió, Lesions de mama, Imágenes de ultrasonido, Transformadores de visión, Lesiones mamarias, Ultrasound images, Vision transformers, Breast lesions, Ciències

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/694065

AI-Augmented 3D Craniofacial Reconstruction for Enhanced Surgical Planning: A Novel Integration of Depth-Augmented Vision Transformers and MeshCNN for Structural Fidelity

Autori: Vishal, n. Kukreja, V. Ahuja, V. a ďalší

Zdroj: Egyptian Informatics Journal. 32

Predmety: 3D U-net segmentation, AI-augmented pre-surgical planning, Craniosynostosis reconstruction, Depth-Augmented Vision Transformers

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55894
https://doi.org/10.1016/j.eij.2025.100810

Fine-tuned Vision Transformers and YOLOv11 for precise detection of pediatric Adenoid Hypertrophy

Autori: Shaymaa E. Sorour Mohammed Aljaafari Abdullah A. Alarfaj a ďalší

Zdroj: Alexandria Engineering Journal, Vol 128, Iss, Pp 366-393 (2025)

Predmety: Adenoid Hypertrophy (AH), Data augmentation, Vision Transformers (ViT), YOLOv11, Large language model (LLM), Fine-tuning, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/e99d5da89d8a4f27844eb86bc6abceb0

Machine Learning-Based Measurement Forecasting Approach for Smart Agriculture

Autori: Kempelis, Arturs Romanovs, Andrejs Patlins, Antons a ďalší

Prispievatelia: Kempelis, Arturs Romanovs, Andrejs Patlins, Antons a ďalší

Zdroj: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. 21:937-949

Predmety: Vision Transformers, Thermal imagery, Convolutional Network Regression, Measurement Forecasting, Deep learning, Precision Agriculture, Plant Sensor Data Estimation

Popis súboru: application/pdf

Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task

Autori: Osman Furkan Karakuş Ayla Gülcü Ali Can Karaca

Zdroj: Journal of Innovative Science and Engineering, Vol 9, Iss 1, Pp 28-38 (2025)
Volume: 9, Issue: 128-38
Journal of Innovative Science and Engineering

Predmety: optical character recognition, Görüntü İşleme, Örüntü Tanıma, vision transformers, Image Processing, handwritten text line segmentation, object detection, Pattern Recognition, TA1-2040, Engineering (General). Civil engineering (General), Vision Transformers, Handwritten Text Segmentation, Object Detection, Optical Character Recognition, Deep Learning, Document Analysis

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/c8f68bc65c214ca093668092136a9c85
https://dergipark.org.tr/tr/pub/jise/issue/91233/1471047

AMBER: advanced SegFormer for multi-band image segmentation—an application to hyperspectral imaging

Autori: Andrea Dosi Massimo Brescia Stefano Cavuoti a ďalší

Zdroj: Neural Computing and Applications. 37:17273-17291

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Vision transformers, Computer Science - Computer Vision and Pattern Recognition, Hyperspectral Imaging, Remote sensing, Hyperspectral Imaging, Vision transformers, Remote sensing

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2409.09386
https://link.springer.com/article/10.1007/s00521-025-11315-1
https://hdl.handle.net/11588/1009754

Social Bias in Vision Transformers: A Comparative Study Across Architectures and Learning Paradigms: A Comparative Study Across Architectures and Learning Paradigms

Autori: Takehiro Tsurumi Elena Beretta

Zdroj: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. :2934-2973

Predmety: vision transformers, social bias, unsupervised learning, computer vision

Prístupová URL adresa: https://research.vu.nl/en/publications/241b370a-b545-4ed5-95c1-724cdad5f4f8
https://doi.org/10.1145/3715275.3732189
https://hdl.handle.net/1871.1/241b370a-b545-4ed5-95c1-724cdad5f4f8

Advance Fake Video Detection via Vision Transformers

Autori: Joy Battocchio Stefano Dell'Anna Andrea Montibeller a ďalší

Zdroj: Proceedings of the ACM Workshop on Information Hiding and Multimedia Security. :1-11

Predmety: 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, Multimedia forensics, AI-generated video detection, vision transformers, latent video diffusion models, deepfakes, Computer Science - Multimedia, Multimedia (cs.MM)

Prístupová URL adresa: http://arxiv.org/abs/2504.20669

Vision Transformers for X-ray Diffraction Patterns Analysis

Autori: Simonnet, Titouan Fall, Mame Diarra Grangeon, Sylvain a ďalší

Prispievatelia: Simonnet, Titouan Fall, Mame Diarra Grangeon, Sylvain a ďalší

Zdroj: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Predmety: Vision Transformers, Deep Learning, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, XRD patterns

Popis súboru: application/pdf

Joint Detection and Removal of Specular Highlights using Vision Transformer with Multi-scale Patch Attention

Autori: Levent Karacan

Zdroj: Sakarya University Journal of Computer and Information Sciences, Vol 8, Iss 1, Pp 47-57 (2025)
Volume: 8, Issue: 147-57
Sakarya University Journal of Computer and Information Sciences

Predmety: Computer Software, vision transformers, Electronic computers. Computer science, convolutional neural networks, specular highlight removal, QA75.5-76.95, Information technology, Specular highlight detection, Specular highlight removal, Vision transformers, Convolutional neural networks, T58.5-58.64, Bilgisayar Yazılımı, specular highlight detection

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/c1a087dd15534a9a9b149f6c3350814c
https://dergipark.org.tr/tr/pub/saucis/issue/91064/1517723

Diagnosis of the Skin Cancer by Vision Transformers

Autori: Uğur Demiroğlu

Zdroj: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 13, Iss 1, Pp 588-598 (2025)
Volume: 13, Issue: 1588-598
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Duzce University Journal of Science and Technology

Predmety: categorized images, Technology, Science (General), skin cancer, vision transformers, cilt kanseri, Yapay Görme, Science, Derin Öğrenme, Machine Vision, Engineering (General). Civil engineering (General), Skin cancer, Categorized images, Malignant and benign classes, Classification, Vision transformers, Q1-390, Deep Learning, malignant and benign classes, classification, kategorize edilmiş görüntüler, Cilt kanseri, Kategorize edilmiş görüntüler, Kötü huylu ve iyi huylu sınıflar, Sınıflandırma, sınıflandırma, TA1-2040, kötü huylu ve iyi huylu sınıflar

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/f17ef317a9cb42d38d80abc56588904f
https://dergipark.org.tr/tr/pub/dubited/issue/90184/1572317

Dynamic Hierarchical Token Merging for Vision Transformers

Autori: Haroun, Karim Allenet, Thibault Ben Chehida, Karim a ďalší

Prispievatelia: Haroun, Karim Allenet, Thibault Ben Chehida, Karim a ďalší

Zdroj: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. :677-684

Predmety: Vision Transformers, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Neural network compression, Dynamic neural networks, Token merging

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04885469v1
https://doi.org/10.5220/0013284100003912
https://hal.science/hal-04885469v1/document

Superior Image Segmentation Performance with a Hybrid CNN-ViT Architecture

Autori: Yethiraj N G Dr Sidappa M

Predmety: Vision Transformers, Deep Learning, Convolutional Neural Networks, Semantic Segmentation, Hybrid Architecture, Image Segmentation

Hybrid WideResNet-Dual Spatial Embedding Vision Transformer with SE blocks: a high-accuracy model for Land Use and Land Cover classification in remote sensing

Autori: Ijaz Hussain Wei Chen Yasir Iqbal a ďalší

Zdroj: Big Earth Data, Pp 1-40 (2025)

Predmety: Land Use and Land Cover, Wide Residual Network, Vision Transformers, remote sensing, Squeeze-and-Excitation, cross-modal transformers, Geography. Anthropology. Recreation, Geology, QE1-996.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2096-4471; https://doaj.org/toc/2574-5417

Prístupová URL adresa: https://doaj.org/article/76a60f54924449f08b48822a657b7002

Magnetic resonance image processing transformer for general accelerated image restoration

Autori: Guoyao Shen Mengyu Li Stephan Anderson a ďalší

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

Predmety: MRI, Image restoration, General models, Vision transformers, Image processing transformers, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/6ff7be4ccb1f408bb87cb8ca4acb2a22

DINOv2 rocks geological image analysis: Classification, segmentation, and interpretability

Autori: Florent Brondolo Samuel Beaussant

Zdroj: Journal of Rock Mechanics and Geotechnical Engineering, Vol 17, Iss 11, Pp 6853-6867 (2025)

Predmety: Computer vision, Micro-computed tomography (μCT), DINOv2, Vision transformers (ViTs), Segmentation, Classification, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, TA703-712

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1674775525002677; https://doaj.org/toc/1674-7755

Prístupová URL adresa: https://doaj.org/article/5c07fbb16e9c45f299524897b9166d4f

Development of a unified deep learning approach integrating CNN-based local and ViT-based global feature extraction for enhanced cotton disease and pest classification

Autori: L. K. Dhruw V. K. Tewari Peeyush Soni a ďalší

Zdroj: Plant Methods, Vol 21, Iss 1, Pp 1-24 (2025)

Predmety: Cotton, Deep learning, Disease monitoring, Vision transformers, Precision agriculture, Plant culture, SB1-1110, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1746-4811

Prístupová URL adresa: https://doaj.org/article/df08da19b5de4f7db2cd985d6568f4e4

Hybrid ViT–CNN Model for Automatic Monkeypox Skin Lesion Diagnosis

Autori: Aji Triwerdaya Ema Utami

Zdroj: Journal of Electrical Engineering and Computer, Vol 7, Iss 2, Pp 461-470 (2025)

Predmety: monkeypox skin lesions deep learning vision transformers convolutional neural network hybrid model medical image analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ejournal.unuja.ac.id/index.php/jeecom/article/view/12795; https://doaj.org/toc/2715-0410; https://doaj.org/toc/2715-6427

Prístupová URL adresa: https://doaj.org/article/a82ec598deb047e6bfaefe663ab3069b

A deep learning based framework for music-synchronized dance choreography with pose quantization and motion prediction for activity recognition

Autori: Weiwei Fan Xuerui An

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Predmety: Activity recognition, Human pose estimation, Vision transformers, Graph convolutional networks, Vector quantization, Differential evolution algorithm and monte carlo simulations, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/bc37a8fe4b4f4e048a6bde9a8689d67b

Multimodal sentiment analysis using image and text fusion for emotion detection

Autori: Uttam U. Deshpande Supriya Shanbhag Amit Sukhasare a ďalší

Zdroj: Discover Computing, Vol 28, Iss 1, Pp 1-24 (2025)

Predmety: Mental health, Image sentiment analysis, Emotion, AllenTAN, Vision transformers (ViT), Optical character recognition (OCR), Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2948-2992

Prístupová URL adresa: https://doaj.org/article/a3fb3b2a3224411b92d39e4d397f3664