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Conference Aug 2026

Uncertainty-Aware SegFormer for Satellite Image Segmentation Using Evidential Deep Learning

Vision Transformers and other deep learning models are highly accurate in segmenting satellite images, but they tend to behave as overconfident black boxes and pose a safety risk for critical remote sensing applications. We present an Uncertainty-Aware SegFormer that combines Evidential Deep Learning (EDL) with a singl...

Hrishikesh Raj, Muhammad Basith K, S. S · 0 citations
Conference Aug 2026

A Retrieval-Augmented Generation Framework for Legal AI Assistance in Indian Domain

Legal research is a complex and time-consuming process that requires practitioners to analyze numerous statutes, case laws, judicial precedents, and legal interpretations from multiple sources. Although Large Language Models (LLMs) have enabled conversational legal assistants, they often generate hallucinated responses...

S. S, Raja Chellan · 0 citations

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