Paper submission deadline: February 9, 2025 (provisional)
Notification of acceptance: March 30, 2025
Camera-ready submission: May 4, 2025
January 21st, 2025
Daniela Lopez de Luise
January 21st, 2025
Daniela Lopez de Luise Call for Papers – “Digital Twinning in Smart Applications”
At the International Joint Conference on Neural Networks
June 30 – July 5, 2025 Rome, Italy
Submission deadline: January 15, 2025 January 30, 2025
The advent of digital twins has revolutionized the simulation and optimization of real-world scenarios. Digital twins are comparable virtual replicas of real-world systems, assets, or processes that allow for real-time optimization, simulation, and monitoring. Through a complete or semi-complete digital replication of a physical object, they provide performance analysis, problem prediction, and scenario testing without affecting the real system. When combined with deep learning, these virtual replicas gain the ability to learn from extensive data, adapt to changing conditions, and predict future states with exceptional precision. This integration enables digital twins to not only reflect their physical counterparts but also anticipate issues, enhance performance, and autonomously support decision-making processes. The applications are extensive: in manufacturing, it leads to smart factories where production lines optimize themselves for efficiency; in healthcare, patient-specific digital twins can forecast health trajectories and tailor treatments; in urban planning, city-wide digital twins can model traffic and energy use to improve sustainability. Deep learning allows digital twins to become dynamic entities that change in tandem with their physical counterparts, creating interesting prospects for innovation in a variety of research and application areas.
Manuscripts related to the Special Session shall be submitted through the CMT paper submission website as a regular paper (Main Track) by selecting this special session “Digital Twinning in Smart Applications” as primary Subject Area. All submitted papers will be reviewed in the same process as the regular papers. Accepted contributions will be part of the conference proceedings.
In order to prepare your submission, please follow the guidelines of the main conference at https://2025.ijcnn.org/authors/initial-author-instructions.
Special Session Co-Chairs
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January 21st, 2025
Daniela Lopez de Luise
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January 21st, 2025
Daniela Lopez de Luise
January 21st, 2025
Daniela Lopez de Luise
Call for participants
ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking
Website: https://rrc.cvc.uab.es/?ch=32
Contact: icdar25-maptext-contact (at) googlegroups.com
Updates: https://groups.google.com/g/icdar25-maptext-news
Submission deadline: April 1st, 2025 (train/val sets available now)
2024-12-10: Website live, train/val sets available
2025-01-14: Accepting submissions for val set., evaluation tools released
2025-03-01: Test set available, submissions are open
2024-04-01: Final submission deadline, including short reports
The competition encompasses four tasks:
word detection
phrase detection
word detection and recognition
phrase detection and recognition.
Detailed descriptions of each task can be found on the official web page.
Dear colleagues,
After a successful 2024 edition, we are pleased to announce the 2025 edition of the ICDAR Competition on Map Text Detection, Recognition, and Linking. This edition still focuses on text detection and recognition in challenging historical map images, and introduces several new features:
expanded data for the French Land Registers dataset
addition of a new Taiwanese maps dataset from the GIS Center at Academia Sinica, featuring Chinese characters
release of large synthetic training data for each dataset
improved evaluation metrics and indicators for better feedback
We would like to invite you to register and participate using the following links:
Official competition platform: https://rrc.cvc.uab.es/?ch=32
Receive updates by email: https://groups.google.com/g/icdar25-maptext-news
You can start developing and evaluating your method right now thanks to our public training and validation data, as well as our public evaluation platform. You can also run our open evaluation code offline.
This competition is organized by experienced competition organizers from the following organizations: University of Minnesota (USA), Grinnell College (USA), Univ Gustave Eiffel, ENSG, IGN, LASTIG (France), EHESS (France), EPITA (France), Academia Sinica (Taiwan).
Looking forward to benchmarking your innovative solutions!
— ICDAR 2025 MapText Organizers