SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer +1

We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises of acquired and…