:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahishali, Mete, Rahman, Anis Ur, Heinaro, Einari, Junttila, Samuli
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Acceso en línea:	https://arxiv.org/abs/2504.04271
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial Imagery
por: Rahman, Anis Ur, et al.
Publicado: (2025)

Cross-Domain Dead Tree Detection via Knowledge Distillation in Aerial Imagery
por: Rahman, Anis Ur, et al.
Publicado: (2026)

Multispectral Blind Image Super-Resolution for Standing Dead Tree Segmentation
por: Ahishali, Mete, et al.
Publicado: (2026)

SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
por: Adalioglu, Ilke, et al.
Publicado: (2023)

Improved Active Fire Detection using Operational U-Nets
por: Devecioglu, Ozer Can, et al.
Publicado: (2023)

Representation Based Regression for Object Distance Estimation
por: Ahishali, Mete, et al.
Publicado: (2021)

Reliable COVID-19 Detection Using Chest X-ray Images
por: Degerli, Aysen, et al.
Publicado: (2021)

R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification
por: Ahishali, Mete, et al.
Publicado: (2022)

Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
por: Rahman, Asad Ur, et al.
Publicado: (2024)

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
por: Mu, Nan, et al.
Publicado: (2025)

Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation
por: Song, Pengwu, et al.
Publicado: (2025)

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing
por: Yamac, Mehmet, et al.
Publicado: (2019)

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images
por: Yamac, Mehmet, et al.
Publicado: (2020)

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
por: Li, Minglong, et al.
Publicado: (2025)

AGFA-Net: Attention-Guided and Feature-Aggregated Network for Coronary Artery Segmentation using Computed Tomography Angiography
por: Liu, Xinyun, et al.
Publicado: (2024)

Machine Learning Interventions for Weed Detection using Multispectral Imagery and Unmanned Aerial Vehicles -- A Systematic Review
por: Goel, Drishti, et al.
Publicado: (2024)

Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration
por: Adalioglu, Ilke, et al.
Publicado: (2024)

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation
por: Lin, Kevin, et al.
Publicado: (2024)

MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan
por: Usman, Muhammad, et al.
Publicado: (2023)

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)
por: Sami, Mirza Tanzim, et al.
Publicado: (2024)

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
por: Ahishali, Mete, et al.
Publicado: (2020)

Super-Resolution of Sentinel-2 Images Using a Geometry-Guided Back-Projection Network with Self-Attention
por: Pereira-Sánchez, Ivan, et al.
Publicado: (2025)

Recomposed realities: animating still images via patch clustering and randomness
por: Juvonen, Markus, et al.
Publicado: (2025)

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
por: Gao, Yifan, et al.
Publicado: (2024)

LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
por: Khan, Tariq M, et al.
Publicado: (2024)

Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost
por: Hou, Benjamin, et al.
Publicado: (2025)

SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
por: Li, Min, et al.
Publicado: (2025)

Retrieval-Guided Photovoltaic Inventory Estimation from Satellite Imagery for Distribution Grid Planning
por: Guo, Muhao, et al.
Publicado: (2026)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
por: Fu, Jingru, et al.
Publicado: (2024)

FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
por: Liu, Zijiang, et al.
Publicado: (2024)

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses
por: Luo, Xinwei, et al.
Publicado: (2025)

Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment
por: Nabavi, Shahabedin, et al.
Publicado: (2024)

MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
por: Kolahi, Sina Ghorbani, et al.
Publicado: (2024)

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
por: Raghaw, Chandravardhan Singh, et al.
Publicado: (2024)

Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery
por: Han, Chengxi, et al.
Publicado: (2024)

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
por: Khan, Tariq M, et al.
Publicado: (2024)

Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation
por: Qi, Kristin, et al.
Publicado: (2025)

Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance
por: Kwon, Ryan Donghan, et al.
Publicado: (2024)

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
por: Rahman, Md Mostafijur, et al.
Publicado: (2024)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
por: Maani, Fadillah, et al.
Publicado: (2024)