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Found 10 papers, 2 papers with code
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
Black-box optimization is one of the vital tasks in machine learning, since it approximates real-world conditions, in that we do not always know all the properties of a given system, up to knowing almost nothing but the results.
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
With this in mind, we hosted the third edition of the MineRL ObtainDiamond competition, MineRL Diamond 2021, with a separate track in which we permitted any solution to promote the participation of newcomers.
Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
While Deep Learning (DL) can be used as a part of the authentication system, to the best of our knowledge, none of the previous works has studied the performance of a DL-based authentication system against ML-based attacks on CDP with 1x1 symbol size.
Anomaly localization for copy detection patterns through print estimations
Systems based on classical supervised learning and digital templates assume knowledge of fake CDP at training time and cannot generalize to unseen types of fakes.
Printing variability of copy detection patterns
Since digital off-set printing represents great flexibility in terms of product personalized in comparison with traditional off-set printing, it looks very interesting to address the above concerns for digital off-set printers that are used by several companies for the CDP protection of physical objects.
Digital twins of physical printing-imaging channel
In this paper, we address the problem of modeling a printing-imaging channel built on a machine learning approach a. k. a.
Solving the Weather4cast Challenge via Visual Transformers for 3D Images
Accurately forecasting the weather is an important task, as many real-world processes and decisions depend on future meteorological conditions.
Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns
Nowadays, copy detection patterns (CDP) appear as a very promising anti-counterfeiting technology for physical object protection.
Stochastic Digital Twin for Copy Detection Patterns
Copy detection patterns (CDP) present an efficient technique for product protection against counterfeiting.
TURBO: The Swiss Knife of Auto-Encoders
We present a novel information-theoretic framework, termed as TURBO, designed to systematically analyse and generalise auto-encoding methods.
