5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
Visual anomaly detection targets to detect images that notably differ from normal pattern, and it has found extensive application in identifying defective parts within the manufact…
cs.LG2023
Few-shot Anomaly Detection in Text with Deviation Learning
Anindya Sundar Das, Aravind Ajay, Sriparna Saha +1
Most current methods for detecting anomalies in text concentrate on constructing models solely relying on unlabeled data. These models operate on the presumption that no labeled an…
cs.CV2021★ 5 cited
Self-Supervised Image-to-Text and Text-to-Image Synthesis
Anindya Sundar Das, Sriparna Saha
A comprehensive understanding of vision and language and their interrelation are crucial to realize the underlying similarities and differences between these modalities and to lear…