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Defect Detection

Papers

Showing 201–225 of 394 papers

TitleStatusHype
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly DetectionCode1
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models—0
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations—0
TFR: Texture Defect Detection with Fourier Transform using Normal Reconstructed Template of Simple Autoencoder—0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect DetectionCode0
Lightweight wood panel defect detection method incorporating attention mechanism and feature fusion network—0
Exploring the Relationship between Samples and Masks for Robust Defect Localization—0
FABLE : Fabric Anomaly Detection Automation ProcessCode0
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiONCode1
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning—0
ReContrast: Domain-Specific Anomaly Detection via Contrastive ReconstructionCode1
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation—0
Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing—0
A Study on Deep CNN Structures for Defect Detection From Laser Ultrasonic Visualization Testing Images—0
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition—0
Quantifying the effect of X-ray scattering for data generation in real-time defect detectionCode0
A Novel Strategy for Improving Robustness in Computer Vision Manufacturing Defect Detection—0
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code ClassificationCode0
A Review of Benchmarks for Visual Defect Detection in the Manufacturing Industry—0
In-situ Anomaly Detection in Additive Manufacturing with Graph Neural Networks—0
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning—0
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and LocalizationCode0
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation—0
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids—0
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