Image de couverture de livre

Single image super-resolution based on trainable feature matching attention network

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Qizhou, Shao, Qing
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network
par: Zhang, Yi
Publié: (2025)

Large coordinate kernel attention network for lightweight image super-resolution
par: Hao, Fangwei, et autres
Publié: (2024)

Lightweight single-image super-resolution network based on dual paths
par: Ke, Li, et autres
Publié: (2024)

Multi-scale interaction network for stereo image super-resolution
par: Xu, Liyi, et autres
Publié: (2026)

A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanism
par: Zheng, Peng, et autres
Publié: (2024)

Multi-level distortion-aware deformable network for omnidirectional image super-resolution
par: Yang, Cuixin, et autres
Publié: (2025)

Flow matching for Sentinel-2 super-resolution: implementation, application, and implications
par: Hester, Dakota, et autres
Publié: (2026)

Transfer learning RGB models to hyperspectral images with trainable tensor decompositions
par: Schönfeld, Mariette, et autres
Publié: (2026)

Application of convolutional neural networks in image super-resolution
par: Tian, Chunwei, et autres
Publié: (2025)

4D-MISR: A unified model for low-dose super-resolution imaging via feature fusion
par: Wang, Zifei, et autres
Publié: (2025)

Efficient feature matching for UAV images based on compact GPU data scheduling
par: Jiang, San, et autres
Publié: (2025)

Training Kindai OCR with parallel textline images and self-attention feature distance-based loss
par: Le, Anh, et autres
Publié: (2025)

Toward task-driven satellite image super-resolution
par: Ziaja, Maciej, et autres
Publié: (2025)

Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network
par: Zhao, Fan, et autres
Publié: (2024)

Efficient scene text image super-resolution with semantic guidance
par: TomyEnrique, LeoWu, et autres
Publié: (2024)

SAR image matching algorithm based on multi-class features
par: Qiang, Mazhi, et autres
Publié: (2021)

YOLO algorithm with hybrid attention feature pyramid network for solder joint defect detection
par: Ang, Li, et autres
Publié: (2024)

Task-driven single-image super-resolution reconstruction of document scans
par: Zyrek, Maciej, et autres
Publié: (2024)

IQ-LUT: interpolated and quantized LUT for efficient image super-resolution
par: Zhang, Yuxuan, et autres
Publié: (2026)

Sparsity-based background removal for STORM super-resolution images
par: Valera, Patris, et autres
Publié: (2024)

Intelligent recognition of GPR road hidden defect images based on feature fusion and attention mechanism
par: Lv, Haotian, et autres
Publié: (2025)

Application of attention-based Siamese composite neural network in medical image recognition
par: Huang, Zihao, et autres
Publié: (2023)

Enhancing compact convolutional transformers with super attention
par: Leandre, Simpenzwe Honore, et autres
Publié: (2025)

Fused attention mechanism-based ore sorting network
par: Zhen, Junjiang, et autres
Publié: (2024)

Image super-resolution via dynamic network
par: Tian, Chunwei, et autres
Publié: (2023)

SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
par: Guo, Haonan, et autres
Publié: (2023)

Boundary feature fusion network for tooth image segmentation
par: Zhang, Dongping, et autres
Publié: (2024)

Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentin
par: Anderson, Lauren, et autres
Publié: (2025)

FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution
par: Jie, Yuchan, et autres
Publié: (2025)

3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
par: Ye, Yibin, et autres
Publié: (2024)

A Tree-guided CNN for image super-resolution
par: Tian, Chunwei, et autres
Publié: (2025)

Downscaling climate projections to 1 km with single-image super resolution
par: Košťál, Petr, et autres
Publié: (2025)

Zero-shot sketch-based remote sensing image retrieval based on multi-level and attention-guided tokenization
par: Yang, Bo, et autres
Publié: (2024)

YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO
par: Yue, Taoran, et autres
Publié: (2024)

MCNet: A crowd denstity estimation network based on integrating multiscale attention module
par: Guo, Qiang, et autres
Publié: (2024)

Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
par: Zuo, Xin, et autres
Publié: (2025)

Task-driven real-world super-resolution of document scans
par: Zyrek, Maciej, et autres
Publié: (2025)

A novel approach for glaucoma classification by wavelet neural networks using graph-based, statisitcal features of qualitatively improved images
par: Santosh, N. Krishna, et autres
Publié: (2022)

DFU: scale-robust diffusion model for zero-shot super-resolution image generation
par: Havrilla, Alex, et autres
Publié: (2023)

DWARF: Disease-weighted network for attention map refinement
par: Luo, Haozhe, et autres
Publié: (2024)