2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings - Université d'Évry
Communication Dans Un Congrès Année : 2023

2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings

Résumé

This paper introduces our methods in creating a comprehensive evaluation resource for assessing the capabilities of algorithms aimed at segmenting and perceptually grouping 2D mechanical technical drawings. Our dataset encompasses a diverse collection of such drawings, accompanied by semi-automated annotations of segments and groups. These annotations were reviewed by domain experts, following detailed guidelines to ensure both consistency and top-notch quality. The dataset is intended to serve as an invaluable asset for researchers dedicated to advancing techniques that enhance the comprehension and interpretation of 2D mechanical drawings.
Fichier non déposé

Dates et versions

hal-04435921 , version 1 (02-02-2024)

Identifiants

Citer

Mohamed Dhia Elhak Besbes, Zahra Vahidi Ferdousi, Hedi Tabia, Mouna Fradi. 2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2023), Oct 2023, Paris, France. pp.1737--1746, ⟨10.1109/ICCVW60793.2023.00190⟩. ⟨hal-04435921⟩
14 Consultations
0 Téléchargements

Altmetric

Partager

More