most citedSeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 3 cited

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…

cs.CV2023

ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection

Daria Reshetova, Guanhang Wu, Marcel Puyat +2

Object detection is the key technique to a number of Computer Vision applications, but it often requires large amounts of annotated data to achieve decent results. Moreover, for pe…

math.OC2016

Multi-class classification: mirror descent approach

Daria Reshetova

We consider the problem of multi-class classification and a stochastic opti- mization approach to it. We derive risk bounds for stochastic mirror descent algorithm and provide exam…