Egocentric visitor localization and artwork detection in cultural sites using synthetic data-Reference-Cited by-同舟云学术

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Egocentric visitor localization and artwork detection in cultural sites using synthetic data

Published:2020-05 Issue: Volume:133 Page:17-24
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Andrea Orlando Santi,Furnari Antonino^ORCID,Farinella Giovanni Maria^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Visions for augmented cultural heritage experience;Cucchiara;IEEE Multimed.,2014

2. Vedi: vision exploitation for data interpretation;Farinella,2019

3. 3d semantic parsing of large-scale indoor spaces;Armeni,2016

4. Deep metric learning using triplet network;Hoffer,2015

5. A context-aware framework for cultural heritage applications;Colace,2014

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning to Detect Attended Objects in Cultural Sites with Gaze Signals and Weak Object Supervision;Journal on Computing and Cultural Heritage;2024-04-23

2. A multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial learning and self-training;Computer Vision and Image Understanding;2022-09

3. Unsupervised Multi-camera Domain Adaptation for Object Detection in Cultural Sites;Image Analysis and Processing – ICIAP 2022;2022

4. An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites;Image and Vision Computing;2021-03

5. Semantic Object Segmentation in Cultural Sites using Real and Synthetic Data;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

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