Description
Book Synopsis.- On the Application of Egocentric Computer Vision to Industrial Inspection.
.- NeuroSymbolic Visual Transform based on Logic Tensor Network for Defect Detection.
.- Multimodal computer vision techniques for wooden utility pole density esti mation with contact-free sensing.
.- Dynamic Label Injection for Imbalanced Industrial Defect Segmentation.
.- XAI-guided Insulator Anomaly Detection for Imbalanced Datasets.
.- Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging.
.- Foreground-Aware Knowledge Distillation for Enhanced Damage Detection.
.- AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization.
.- Interactive Explainable Anomaly Detection for Industrial Settings.
.- DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection.
.- SQUAD: Scalar Quantized representation learning for Unsupervised Anomaly Detection and localization.
.- Deep Unsupervised Segmentation of Log Point Clouds.
.- A Computer Vision System for Automatic Edge Detection of Magnetic Grain Profile.
.- Find the Assembly Mistakes: Error Segmentation for Industrial Applications.
.- EM Based Nano-Scale Defect Analysis in Semiconductor Man ufacturing for Advanced IC Nodes.
.- On The Relationship between Visual Anomaly-free and Anomalous Representations.
.- DIE-VIS: an Automated Visual Inspection System for Cardboard Box Manufacturing.
.- When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections.
.- AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection.
.- Self-supervised Models are Strong Industrial Few-shot Classification Learners.
.- Hyperspectral Imaging and Computer Vision Based Remote Monitoring of SO2 Emissions in Maritime Vessels.
.- Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting.
.- Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities.
.- SplatPose+: Real Time Image-Based Pose-Agnostic 3D Anomaly Detection.
.- BBD-Polyp: Weakly Supervised Polyp Segmentation via Bounding Box and
Depth Map.
.- ENSTRECT: A Stage-based Approach to 2.5D Structural Damage Detection.
.- An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation.
.- Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection.
