:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Poyraz, Ahmet Gokhan, Dirik, Ahmet Emir, Gurkan, Hakan, Kacmaz, Mehmet
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	https://arxiv.org/abs/2508.03721
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Outlier Detection Algorithm for Circle Fitting
di: Poyraz, Ahmet Gökhan
Pubblicazione: (2025)

DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
di: Yilmaz, M. Akin, et al.
Pubblicazione: (2025)

FG-DFPN: Flow Guided Deformable Frame Prediction Network
di: Yılmaz, M. Akın, et al.
Pubblicazione: (2025)

Edit2Restore:Few-Shot Image Restoration via Parameter-Efficient Adaptation of Pre-trained Editing Models
di: Yılmaz, M. Akın, et al.
Pubblicazione: (2026)

Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
di: Wang, Meng, et al.
Pubblicazione: (2024)

Relative Pose Regression with Pose Auto-Encoders: Enhancing Accuracy and Data Efficiency for Retail Applications
di: Shavit, Yoli, et al.
Pubblicazione: (2025)

Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
di: Pan, Hongyi, et al.
Pubblicazione: (2023)

Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
di: Sohail, Mohammad Aamir, et al.
Pubblicazione: (2026)

A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data
di: He, Xingwei, et al.
Pubblicazione: (2025)

Diagnostic Accuracy of Open-Source Vision-Language Models on Diverse Medical Imaging Tasks
di: Müller-Franzes, Gustav, et al.
Pubblicazione: (2025)

Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
di: Milani, Omid Halimi, et al.
Pubblicazione: (2025)

Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning
di: Turkoglu, Mehmet Ozgur, et al.
Pubblicazione: (2025)

Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
di: Emirdagi, Ahmet Rasim, et al.
Pubblicazione: (2026)

Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation
di: Chen, Zhennong, et al.
Pubblicazione: (2024)

Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images
di: Zohranyan, Vazgen, et al.
Pubblicazione: (2024)

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model
di: Halici, Ahmet, et al.
Pubblicazione: (2026)

Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
di: Shindo, Takahiro, et al.
Pubblicazione: (2025)

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications
di: O'Donnell, William, et al.
Pubblicazione: (2025)

DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models
di: Kaya, Mehmet Onurcan, et al.
Pubblicazione: (2025)

prNet: Data-Driven Phase Retrieval via Stochastic Refinement
di: Kaya, Mehmet Onurcan, et al.
Pubblicazione: (2025)

I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models
di: Kaya, Mehmet Onurcan, et al.
Pubblicazione: (2025)

Policy Gradient-Driven Noise Mask
di: Yavuz, Mehmet Can, et al.
Pubblicazione: (2024)

Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks
di: Ashrafian, Pooria, et al.
Pubblicazione: (2024)

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
di: Dayan, Baljinnyam
Pubblicazione: (2024)

All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
di: Zhang, Xu, et al.
Pubblicazione: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
di: Zhang, Zheyuan, et al.
Pubblicazione: (2024)

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications
di: Cheng, Runze, et al.
Pubblicazione: (2026)

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
di: Liu, Jie, et al.
Pubblicazione: (2024)

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
di: Yu, Xin, et al.
Pubblicazione: (2023)

A Novel Data Augmentation Tool for Enhancing Machine Learning Classification: A New Application of the Higher Order Dynamic Mode Decomposition for Improved Cardiac Disease Identification
di: Groun, Nourelhouda, et al.
Pubblicazione: (2024)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
di: K., Keshav Kumar, et al.
Pubblicazione: (2023)

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification
di: Li, Xue, et al.
Pubblicazione: (2025)

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography
di: Ahmed, Emir, et al.
Pubblicazione: (2025)

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
di: Bench, Ciaran, et al.
Pubblicazione: (2025)

Self-Supervised Training For Low Dose CT Reconstruction
di: Unal, Mehmet Ozan, et al.
Pubblicazione: (2020)

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization
di: Agarwal, Aman, et al.
Pubblicazione: (2025)

CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
di: Gui, Lujun, et al.
Pubblicazione: (2024)

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
di: Bilecen, Bahri Batuhan, et al.
Pubblicazione: (2024)

Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
di: Monroy, Brayan, et al.
Pubblicazione: (2025)

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation
di: Dietlmeier, Julia, et al.
Pubblicazione: (2025)