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Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond [chapter]

Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang
2018 Lecture Notes in Computer Science  
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]

Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang
2018 arXiv   pre-print
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]

Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne Van Noord, Giorgos Tolias
2022 arXiv   pre-print
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

Ricardo Rosales, Manuel Castañón-Puga, Felipe Lara-Rosano, Josue Flores-Parra, Richard Evans, Nora Osuna-Millan, Carelia Gaxiola-Pacheco
2018 Applied Sciences  
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

Nicholus Mboga, Stefano D'Aronco, Tais Grippa, Charlotte Pelletier, Stefanos Georganos, Sabine Vanhuysse, Eléonore Wolff, Benoît Smets, Olivier Dewitte, Moritz Lennert, Jan Dirk Wegner
2021 ISPRS International Journal of Geo-Information  
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

Marco Fiorucci, Marina Khoroshiltseva, Massimiliano Pontil, Arianna Traviglia, Alessio Del Bue, Stuart James
2020 Pattern Recognition Letters  
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

Svebor Karaman, Andrew D. Bagdanov, Lea Landucci, Gianpaolo D'Amico, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo
2014 Multimedia tools and applications  
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

Alicja Jagielska-Burduk, Andrzej Jakubowski
2020 Santander Art and Culture Law Review  
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

Larissa Guimarães
2021 Thresholds  
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

Gatha Tanwar, Ritu Chauhan, Eiad Yafi
2021 Sensors  
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]

Amit H. Bermano and Rinon Gal and Yuval Alaluf and Ron Mokady and Yotam Nitzan and Omer Tov and Or Patashnik and Daniel Cohen-Or
2022 arXiv   pre-print
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

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
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]

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
2019 arXiv   pre-print
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

Savvas Varitimiadis, Konstantinos Kotis, Dimitra Pittou, Georgios Konstantakis
2021 Applied Sciences  
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

Lin Pey Fan, Tzu How Chu
2021 Applied Sciences  
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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