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Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
[chapter]
2018
Lecture Notes in Computer Science
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We study an open problem of artwork identification and propose a new dataset dubbed Open Museum Identification Challenge (Open MIC). ...
The goal of Open MIC is to stimulate research in domain adaptation, egocentric recognition and few-shot learning by providing a testbed complementary to the famous Office dataset which reaches ∼90% accuracy ...
Thus, we propose a new dataset for the task of exhibit identification in museum spaces that challenges domain adaptation/fine-tuning due to its significant domain shifts. ...
doi:10.1007/978-3-030-01270-0_48
fatcat:2nzxoim6nrf2hhzuacvtfeownu
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
[article]
2018
arXiv
pre-print
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In this paper, we approach an open problem of artwork identification and propose a new dataset dubbed Open Museum Identification Challenge (Open MIC). ...
The goal of Open MIC is to stimulate research in domain adaptation, egocentric recognition and few-shot learning by providing a testbed complementary to the famous Office dataset which reaches 90% accuracy ...
Therefore, we propose a new dataset for the task of exhibit identification in museum spaces that challenges domain adaptation and fine-tuning due to its significant domain shifts between the source and ...
arXiv:1802.01093v1
fatcat:mdcar647qbcm5a4kqg3aifw34a
The Met Dataset: Instance-level Recognition for Artworks
[article]
2022
arXiv
pre-print
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The proposed benchmark exhibits a number of different challenges such as large inter-class similarity, long tail distribution, and many classes. ...
Self-supervised and supervised contrastive learning are effectively combined to train the backbone which is used for non-parametric classification that is shown as a promising direction. ...
The authors would like to thank The Met employees Jennie Choi and Maria Kessler for their support and help, Andre Araujo, Tobias Weyand, and Xu Zhang for valuable discussions during the earlier stages ...
arXiv:2202.01747v1
fatcat:dszhkrynhzgwtb6wil5qzojiae
Modelling the Interaction Levels in HCI Using an Intelligent Hybrid System with Interactive Agents: A Case Study of an Interactive Museum Exhibition Module in Mexico
2018
Applied Sciences
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a museum exhibition. ...
In this paper, we provide a means to measure the interaction levels and natural behaviour of users, based on museum user-exhibition interaction. ...
Acknowledgments: We would like to thank the Mexican National Council for Science and Technology, The Autonomous University of Baja California and "El Trompo" Museo Interactivo Tijuana, A.C., in Mexico, ...
doi:10.3390/app8030446
fatcat:bz3jbiewoffujdnjjxr6dkzoom
Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa
2021
ISPRS International Journal of Geo-Information
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Our experimental evaluation shows that the domain adaptation methods can reach an overall accuracy between 60% and 70% for different regions. ...
We present the first application of domain adaptation based on fully convolutional networks for semantic segmentation of a dataset of historical panchromatic orthomosaics for land-cover generation for ...
On the contrary, a scene in a remote sensing image exhibits a variation in the spatial and structural patterns that increase the level of challenge in the performance of domain adaptation methods. ...
doi:10.3390/ijgi10080523
fatcat:7i44narpmffmtantci4unvrrz4
Machine Learning for Cultural Heritage: A Survey
2020
Pattern Recognition Letters
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We analyse the dominant divides within ML, Supervised, Semi-supervised and Unsupervised, and reflect on a variety of algorithms that have been extensively used. ...
We survey across ML and CH literature to identify the theoretical changes which contribute to the algorithm and in turn them suitable for CH applications. ...
Acknowledgement Partially supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 870743. ...
doi:10.1016/j.patrec.2020.02.017
fatcat:smayxo3wcbfmhm33c6q4rnmr6i
Personalized multimedia content delivery on an interactive table by passive observation of museum visitors
2014
Multimedia tools and applications
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2 Svebor Karaman et al. person detectors person detectors person describers person describers identity modeling identity modeling vision database vision database identity modeling and passive profiling ...
RDF ontology RDF ontology interactive table interactive table recommender systems recommender systems natural interaction system visitors mobile app Fig. 1 An overview of the MNEMOSYNE system architecture ...
The challenge is now becoming how to deliver a museum experience to visitors in an immersive museum environment [56] . ...
doi:10.1007/s11042-014-2192-y
fatcat:nlqd4y4v65eitdw2khmxvnh7fq
"Narrative Museums" and Curators' Rights: The Protection of a Museum Exhibition and Its Scenario under Polish Law
2020
Santander Art and Culture Law Review
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Finally, the article concludes with a set of observations concerning the extent to which copyright law may serve as a tool for protecting the integrity of museum exhibitions and their original conceptual ...
Since at least the 1990s, museums have expanded to cover a variety of societal functions, often enabling inclusive and participatory spaces for critical dialogue about the past and the future, and bridging ...
identification of the target audience of the exhibition); and it should indicate the envisaged location/space of the exhibition. ...
doi:10.4467/2450050xsnr.20.014.13017
fatcat:xqo67lg7ynemjp5xkmm63zvf3i
Trem De Arte: A Network of Hope
2021
Thresholds
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If in North America "museums were shaped by the middle class… in Brazil, museums could create one." 20 Beyond an artifice for a traveling exhibition, Zanini's mission of "diffusing" artistic culture ...
segments of the public, challenging established social functions of the museum. ...
doi:10.1162/thld_a_00729
fatcat:sykicgukxjdr7j4e4xvalpbh34
ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display
2021
Sensors
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The work done for the development of ARTYCUL provided a deeper insight into the avenues for applications of IoT technology to the cultural heritage domain, and suitability of ML to process real-time data ...
While we also observed common issues that hinder the utilization of IoT in the cultural domain, the proposed framework was designed keeping in mind the same obstacles and a preference for backward compatibility ...
Research around the definitions of the semantics of smart objects will allow them to be used beyond their potential and help better adoption in the cultural heritage domain. ...
doi:10.3390/s21041527
pmid:33671822
fatcat:7ky5ogrwszhsbfx2wpnc47ub6a
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN
[article]
2022
arXiv
pre-print
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It aims to be of use for both newcomers, who wish to get a grasp of the field, and for more experienced readers that might benefit from seeing current research trends and existing tools laid out. ...
Despite being learned with no supervision, it is surprisingly well-behaved and remarkably disentangled. ...
We refer the reader to Figure 12 for sample domain adaptation results. ...
arXiv:2202.14020v1
fatcat:qu3plbdnszdujcwxwq3zizysje
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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all information of the document; (3) along with the human-annotated data, we also offer large-scale distantly supervised data, which enables DocRED to be adopted for both supervised and weakly supervised ...
In order to verify the challenges of documentlevel RE, we implement recent state-of-the-art methods for RE and conduct a thorough evaluation of these methods on DocRED. ...
Association for Science and Technology (2016QNRC001). ...
doi:10.18653/v1/p19-1074
dblp:conf/acl/YaoYLHLLLHZS19
fatcat:4hvyw5fpdzb7rj46yrd3b7bwuu
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
[article]
2019
arXiv
pre-print
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all information of the document; (3) along with the human-annotated data, we also offer large-scale distantly supervised data, which enables DocRED to be adopted for both supervised and weakly supervised ...
In order to verify the challenges of document-level RE, we implement recent state-of-the-art methods for RE and conduct a thorough evaluation of these methods on DocRED. ...
Association for Science and Technology (2016QNRC001). ...
arXiv:1906.06127v3
fatcat:tuc4znomjvdobl2fsakngxsv4q
Graph-Based Conversational AI: Towards a Distributed and Collaborative Multi-Chatbot Approach for Museums
2021
Applied Sciences
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Furthermore, the paper is introducing a novel approach in developing intelligent chatbots for museums. ...
This paper is surveying a representative set of developed museum chatbots and platforms for implementing them. ...
Ladikou Stamatia as well as the staff of Nikos Kazantzakis Museum for their valuable input.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11199160
fatcat:iipoljihibcfvkdbv3vmikzv4y
Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum
2021
Applied Sciences
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In particular, an optimal planning method is indispensable for the immense and heavy trains in the railway museum. ...
In this study, we created an innovative strategy to integrate the domain knowledge of exhibit displaying, spatial planning, and machine learning to establish a customized recommendation scheme. ...
Acknowledgments: Our sincere thanks go to the staff of Taiwan Railways Administration providing the raw data of the buildings in TRW and collected objects for NRMT. ...
doi:10.3390/app11052424
fatcat:lacvy4yoizatlnqahulr56yqh4
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