Carlos Crispim-Junior

Counterfeit detection can be revolutionized by a single model that accurately identifies anomalies without needing counterfeit samples for training.

Surprisingly, off-the-shelf dense feature matching outperforms supervised methods in detecting serac falls from time-lapse imagery, suggesting a new path for low-cost environmental monitoring.