[go: up one dir, main page]

Wu et al., 2023 - Google Patents

Core: contrastive and restorative self-supervised learning for surface defect inspection

Wu et al., 2023

Document ID
16931226675747174983
Author
Wu H
Li B
Tian L
Sun Z
Dong C
Liao W
Publication year
Publication venue
IEEE Transactions on Instrumentation and Measurement

External Links

Snippet

Visual inspection technology based on deep learning has achieved great success in surface defect inspection tasks. Most existing works transfer the learned knowledge from the natural dataset (eg, ImageNet dataset) into the target tasks. However, the paradigm is suboptimal for …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30148Semiconductor; IC; Wafer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/19Recognition of objects for industrial automation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Chen et al. Surface defect detection methods for industrial products: A review
Zhu et al. Adaptive period embedding for representing oriented objects in aerial images
Lian et al. Deep-learning-based small surface defect detection via an exaggerated local variation-based generative adversarial network
Zou et al. 6d-vit: Category-level 6d object pose estimation via transformer-based instance representation learning
Tao et al. Industrial weak scratches inspection based on multifeature fusion network
Çelik et al. A sigmoid‐optimized encoder–decoder network for crack segmentation with copy‐edit‐paste transfer learning
Sun et al. Improved YOLOv5 with transformer for large scene military vehicle detection on SAR image
Hao et al. Coarse to fine-based image–point cloud fusion network for 3D object detection
Gao et al. Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures
Liang et al. YOLOD: A task decoupled network based on YOLOv5
Huang et al. Joining spatial deformable convolution and a dense feature pyramid for surface defect detection
Lv et al. Efficient and accurate damage detector for wind turbine blade images
Wu et al. Core: contrastive and restorative self-supervised learning for surface defect inspection
Shi et al. MCL-CrackNet: a concrete crack segmentation network using multilevel contrastive learning
Lin et al. A comprehensive review of image line segment detection and description: Taxonomies, comparisons, and challenges
Yuan et al. Relational part-aware learning for complex composite object detection in high-resolution remote sensing images
Wu et al. An economic framework for 6-dof grasp detection
Wang et al. YOLO-RLC: An Advanced Target-Detection Algorithm for Surface Defects of Printed Circuit Boards Based on YOLOv5.
Zhang et al. A controllable generative model for generating pavement crack images in complex scenes
Liu et al. NDT method for weld defects based on FMPVit transformer model
Chen et al. Mafnet: a two-stage multiple attention fusion network for partial-to-partial point cloud registration
Zhang et al. 4-D spatiotemporal detection and modeling of free-bending pipelines in cluttered 3-D point cloud
Wang et al. Real-Time Rotated Object Detection Using Angle Decoupling
Liu et al. Low Overlapping Point Cloud Registration Using Mutual Prior Based Completion Network
Peng et al. High-Precision Surface Crack Detection for Rolling Steel Production Equipment in ICPS