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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 20 of 29 for “"Vision Transformer"”.

  1. Exploración de Vision Transformer para la clasificación de células normales de sangre periférica

    Ryba Maciejewska, BelénUniversitat Oberta de Catalunya (UOC)2021

    … En el siguiente trabajo se analiza Vision Transformer, una nueva arquitectura propuesta que permitiría superar estas restricciones. Centrando su aplicación en el campo de las ciencias de la computación en el ámbito sanitario para el reconocimiento automático de células en sangre …

    catalunya Repository record

  2. Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells

    Msipa, Sibongiseni LetticiaDepartment of Integrative Biomedical Sciences (IBMS)2025

    … neural network (CNN) architectures and Transformer- based models for the multi-label classification of protein subcellular localization in eukaryotic cells, using large-scale immunofluorescence image datasets. Methods: In this study, we comparatively evaluated convolutional neural …

    cape-town Repository record

  3. ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS

    Aziz, MemoonaThe University of Western Ontario2024

    … which evaluates photorealistic quality using Vision Transformer-based attention for local similarity and Maximum Mean Discrepancy (MMD) for global distributional similarity. Our evaluation showed that GLIPS aligns more closely with human perception compared to traditional metrics like FID and …

    uwo Repository record

  4. Thermodynamics of 5-flavor QCD

    Neumann, MariusUniversität Bielefeld

    … the Masked Autoregressive Flow (MAF) and the Vision Transformer (ViT) to QCD data analysis. This approach is used to identify a critical mass marking the boundary between first-order and crossover regions. Another part of this thesis analyzes scaling functions in the 3-d, Z(2), O(2) and O(4) …

    bielefeld Repository record

  5. VADViT:Vision Transformer-Driven Memory Forensics for Malicious Process Detection and Explainable Threat Attribution

    Dehfouli, Yasin2025

    … address these challenges, we propose VADViT, a vision-based transformer model that detects malicious processes by analyzing Virtual Address Descriptor (VAD) memory regions. VADViT converts these structures into Markov, entropy, and intensity-based images, classifying them using a Vision …

    york Repository record

  6. Supervised and self-supervised deep learning approaches for weed identification and soybean yield prediction

    Srivastava, DhirajVirginia Tech2023

    … stages of soybean and Palmer amaranth. Both the Vision Transformer and EfficientNetB0 models display promising test accuracies of 97.69% and 93.26% respectively. However, considering a balance between speed and accuracy, YOLOv6s emerged as the most suitable object detection model for real-time …

    vt Repository record

  7. Explainable AI in Medical Imaging: An Interdisciplinary Translational Approach

    Chavez, Caitlyn2025

    <p>Advances in computer vision and image processing have made a clear impact on many fields, from healthcare diagnostics to autonomous driving. However, as these models become more complex, understanding their decision-making processes has grown increasingly challenging, making explainable AI (XAI) …

    chapman Repository record

  8. Estimating diurnal patterns of land surface temperature using vision transformers and satellite images

    Ksheerasagar, Srivarshini, author, Pallickara, Sangmi Lee, advisor, Pallickara, Shrideep, advisor, Dao, Phuong D., committee memberColorado State University. Libraries2026

    … such as climatic zones and elevation. Built on a Vision Transformer (ViT) architecture with a Masked Autoencoder strategy, DayView directly addresses three core challenges: (1) estimating diurnal cycles from sparse observations, (2) incorporating environmental context to refine fluctuation …

    colostate Repository record

  9. Exploring Smallholder Field Delineation

    Janjigian, Lily T.Massachusetts Institute of Technology2025

    … Meta-Learning (MAML), and SAM2 ViT-H, a large vision transformer released by Meta, evaluated in a zero-shot setting. We introduce a data processing pipeline that converts vector field boundaries from the FTW dataset into highresolution image–mask pairs suitable for supervised learning. …

    mit Repository record

  10. A Novel Approach to Indoor Environment Assessment: Artificial Intelligence of Things (AIoT) Framework for Improving Occupant Comfort and Health in Educational Facilities

    Lee, Min JaeVirginia Tech2024

    … recordings, video/thermal features extracted by Vision Transformer (ViT)), and self-reported comfort and health levels, placing a focus on occupant-centric and data-driven decision-making for intelligent educational facilities. The proposed framework was evaluated and validated at Virginia Tech …

    vt Repository record

  11. Better Generalization with Less Human Annotation Using Meta-Learning and Self-Supervised Learning for Image Analysis

    Yuan, PengyuUniversity of Houston2022

    … classification accuracy for the data-hungry 3D Vision Transformer (3D-ViT) model, and propose the self-supervised learning model Blind-Trace Network (BTN) for the application in the unsupervised seismic interpolation task.

    houston Repository record

  12. Searching for Efficient Multi-Stage Vision Transformers

    Liao, Yi-LunMassachusetts Institute of Technology2021

    Vision Transformer (ViT) demonstrates that Transformer for natural language processing can be applied to image classification tasks and result in comparable performance to convolutional neural networks (CNN), which have been studied in computer vision for years. This naturally raises the question …

    mit Repository record

  13. Model Acceleration for Efficient Deep Learning Computing

    Cai, HanMassachusetts Institute of Technology2024

    … learning, including EfficientViT (a new vision transformer architecture) for high-resolution vision and condition-aware neural networks (a new control module) for conditional image generation. Second, we will present hardware-aware acceleration techniques to create specialized neural …

    mit Repository record

  14. Multimodal Non-Contact Sensing of Neonatal Vital Signs Using Radar and Video

    Chityat, InbarMassachusetts Institute of Technology2025

    … manual review, and then analyzed using a Video Vision Transformer (ViViT) architecture, incorporating early, intermediate, and late fusion strategies. Initial analysis was conducted on the mannequin data and the first neonatal subject. The results show that for estimating RR in neonates, the …

    mit Repository record

  15. Resource efficient distributed inference of deep neural networks for Edge AI

    Mubark, Waleed HassanUniversity of Missouri--Kansas City2025

    … experiments are conducted using advanced vision architectures such as Vision Transformer (ViT), Swin Transformer, DenseNet, and ResNet under diverse deployment scenarios. Results demonstrate up to 67% reduction in total inference time, alongside improvements in GPU utilization and energy …

    umkc Repository record

  16. IntelliEdgent: device-server collaborative deep learning model composition for resource-efficient edge intelligence

    Nimi, Sumaiya TabassumUniversity of Missouri--Kansas City2024

    … Thirdly, we study a device-server collaborative Vision Transformer (ViT) classifier called FactionFormer, based on the idea of a dynamically changing narrower deployment context compared to the off-the-shelf pretrained classifier. Besides these three works, we have other two works in the pipeline …

    umkc Repository record

  17. Advanced AI techniques for comprehensive traffic incident analysis: enhancing incident duration prediction and accident risk forecasting

    Grigorev, Artur2023

    … varied data sources. Introduction of Visual Transformers: The thesis introduces innovative applications of visual transformers in traffic modeling. The use of the Contextual Vision Transformer network (C-ViT) is a significant advancement, enabling spatial-temporal forecasting of traffic …

    uts Repository record

  18. Advancing Automatic Brain Tumour Segmentation Using Multi-Modal MRI

    El Badaoui, RimUniversity of Westminster2025

    … on MRIs, based on the state-of-the-art vision transformer (ViT) with a modified convolutional neural network (CNN) encoder. Evaluated on the BraTS 2021 dataset, 3D CATBraTS achieved quantitative measures that surpassed the current state-of-the-art approaches. We further introduce …

    westminster Repository record

  19. ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security

    Mohzary, Muhammad Ali HUniversity of Missouri--Kansas City2023

    … system. Using a lightweight and low-latency vision transformer, we build a feature extractor network to identify the inconsistencies among the facial image's specular highlights and physiological characteristics. The empirical results show that DARI achieves very high detection accuracy …

    umkc Repository record

  20. Advancing Climate Science with Machine Learning

    He, Sijie2022

    … synthetic climate data and propose a novel Vision Transformer-based variational autoencoder (ViT-VAE) model. We compare the proposed model with another dominant type of generative model, and show both models are able to generate realistic synthetic samples that match the underlying ground …

    umn Repository record

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