Computer vision - ECCV 2024 Workshop...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part IV /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
    Reminder of title: Milan, Italy, September 29-October 4, 2024 : proceedings.
    remainder title: ECCV 2024 Workshops
    other author: Del Bue, Alessio.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: lv, 462 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-92805-5
    ISBN: 9783031928055
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