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Produktbild: Computer Vision – ECCV 2024 Workshops
Band 15626

Computer Vision – ECCV 2024 Workshops Milan, Italy, September 29–October 4, 2024, Proceedings, Part IV

Aus der Reihe Lecture Notes in Computer Science

146,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.05.2025

Abbildungen

LV, 155 illus., 143 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Alessio Del Bue + weitere

Verlag

Springer

Seitenzahl

462

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Sprache

Englisch

ISBN

978-3-031-92804-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.05.2025

Abbildungen

LV, 155 illus., 143 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

462

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Sprache

Englisch

ISBN

978-3-031-92804-8

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: 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.