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Found 7 papers, 2 papers with code
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.
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.
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.
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.
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.
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.
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
In this paper, we shed light on the problem of generalizing testing results obtained in a driving simulator to a physical platform and provide a characterization and quantification of the sim2real gap affecting SDC testing.
