8 papers
ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing
Blaž Rolih, Matic FuÄka, Filip Wolf +1
Remote sensing change detection (RSCD) localises changes between two images of the same geographic region. Most state-of-the-art methods are trained with a per-pixel discriminative…
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…
Make Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space Perturbations
Blaž Rolih, Matic FuÄka, Filip Wolf +1
Unsupervised change detection (UCD) in remote sensing aims to localise semantic changes between two images of the same region without relying on labelled data during training. Most…
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.…
Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
Blaž Rolih, Matic FuÄka, Filip Wolf +1
Remote sensing change detection aims to localize semantic changes between images of the same location captured at different times. In the past few years, newer methods have attribu…