Image de couverture de livre

Superpixel perception graph neural network for intelligent defect detection of aero-engine blade

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shang, Hongbing, Yang, Qixiu, Sun, Chuang, Chen, Xuefeng, Yan, Ruqiang
Format:	Preprint
Publié:	2022
Sujets:	Computer Vision and Pattern Recognition Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Embedded event based object detection with spiking neural network
par: Courtois, Jonathan, et autres
Publié: (2024)

Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
par: Ayres, Luciano Carvalho, et autres
Publié: (2024)

Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks
par: Wang, Jun
Publié: (2021)

A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs
par: He, Qinghua, et autres
Publié: (2025)

Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
par: Ding, Ruiwen, et autres
Publié: (2025)

Semi-weakly-supervised neural network training for medical image registration
par: Li, Yiwen, et autres
Publié: (2024)

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
par: Ding, Yuexing, et autres
Publié: (2024)

Riesz networks: scale invariant neural networks in a single forward pass
par: Barisin, Tin, et autres
Publié: (2023)

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

Text-guided multi-stage cross-perception network for medical image segmentation
par: Chen, Gaoyu, et autres
Publié: (2025)

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis
par: Agarwal, Siddharth, et autres
Publié: (2024)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
par: Slootweg, I. R., et autres
Publié: (2024)

Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network
par: Sun, Ruiqing, et autres
Publié: (2024)

Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset
par: Sun, Sheng, et autres
Publié: (2020)

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
par: Sahoo, Alok Ranjan, et autres
Publié: (2024)

S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation
par: Wu, Yuke, et autres
Publié: (2024)

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

Estimating temperatures with low-cost infrared cameras using deep neural networks
par: Oz, Navot, et autres
Publié: (2023)

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
par: Ibañez, Victor, et autres
Publié: (2024)

A multi-task neural network for atypical mitosis recognition under domain shift
par: Percannella, Gennaro, et autres
Publié: (2025)

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
par: Rafiee, Ahmad Ali, et autres
Publié: (2023)

Anomaly detection in non-stationary videos using time-recursive differencing network based prediction
par: Pillai, Gargi V., et autres
Publié: (2025)

PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
par: Kamran, Sharif A., et autres
Publié: (2025)

Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
par: Hamila, Oumaima, et autres
Publié: (2023)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
par: Chen, Chuang, et autres
Publié: (2025)

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
par: Hariat, Marwane, et autres
Publié: (2026)

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
par: Molchanova, Nataliia, et autres
Publié: (2023)

A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
par: Hoang, Gia Minh, et autres
Publié: (2023)

Hybrid deep learning and physics-based neural network for programmable illumination computational microscopy
par: Sun, Ruiqing, et autres
Publié: (2024)

Quantifying the effect of X-ray scattering for data generation in real-time defect detection
par: Andriiashen, Vladyslav, et autres
Publié: (2023)

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
par: Xiao, MingXuan, et autres
Publié: (2024)

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
par: Cepeda, Santiago, et autres
Publié: (2024)

3-Dimensional residual neural architecture search for ultrasonic defect detection
par: McKnight, Shaun, et autres
Publié: (2023)

Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders
par: Muminov, Baurzhan, et autres
Publié: (2020)

DVS: Blood cancer detection using novel CNN-based ensemble approach
par: Ahad, Md Taimur, et autres
Publié: (2024)

Super-resolution in disordered media using neural networks
par: Christie, Alexander, et autres
Publié: (2024)

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
par: Liu, Mingxuan, et autres
Publié: (2026)

Compute-first optical detection for noise-resilient visual perception
par: Kim, Jungmin, et autres
Publié: (2024)

A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
par: Ahad, Md Taimur, et autres
Publié: (2024)

Learning the Degradation Distribution for Blind Image Super-Resolution
par: Luo, Zhengxiong, et autres
Publié: (2022)