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Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part IV /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
其他題名:	Milan, Italy, September 29-October 4, 2024 : proceedings.
其他題名:	ECCV 2024 Workshops
其他作者:	Del Bue, Alessio.
團體作者:	European Conference on Computer Vision
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	lv, 462 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-92805-5
ISBN:	9783031928055

Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part IV /
Computer vision - ECCV 2024 WorkshopsMilan, Italy, September 29-October 4, 2024 : proceedings.Part IV /[electronic resource] :ECCV 2024 Workshopsedited by Alessio Del Bue ... [et al.]. - Cham :Springer Nature Switzerland :2025. - lv, 462 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,156261611-3349 ;. - Lecture notes in computer science ;15626..

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.

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.

ISBN: 9783031928055

Standard No.: 10.1007/978-3-031-92805-5doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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