Computer Vision – ECCV 2024 Workshops

.- 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.