7 papers
Evaluation of Monocular SLAM Systems on High-Altitude Nadir UAV Footage
Gašper Spagnolo, Matej Dobrevski, Danijel Skočaj
Aerial nadir video combines weak geometric constraints with severe perceptual aliasing, making it a difficult regime for monocular SLAM. We benchmark five monocular SLAM systems on…
ISOPoT: Imaging Sonar Odometry by Point Tracking
Jaša Samec, Vid Rijavec, Marko Peljhan +4
Reliable navigation in underwater environments remains a key challenge in marine robotics. In such scenarios, forward-looking sonars are a natural choice for long-range perception,…
AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
Matic FuÄka, Vitjan Zavrtanik, Danijel SkoÄaj
Zero-shot anomaly detection aims to detect and localise abnormal regions in the image without access to any in-domain training images. While recent approaches leverage vision-langu…
SALAD -- Semantics-Aware Logical Anomaly Detection
Matic FuÄka, Vitjan Zavrtanik, Danijel SkoÄaj
Recent surface anomaly detection methods excel at identifying structural anomalies, such as dents and scratches, but struggle with logical anomalies, such as irregular or missing o…
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
Blaž Rolih, Matic FuÄka, Danijel SkoÄaj
Surface defect detection is a critical task across numerous industries, aimed at efficiently identifying and localising imperfections or irregularities on manufactured components.…
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
Muhammad Aqeel, Danijel Skocaj, Marco Cristani +1
Industrial and medical anomaly detection faces critical challenges from data scarcity and prohibitive annotation costs, particularly in evolving manufacturing and healthcare settin…