2 citations · 7 across the 12 of their papers we have counts for
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Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting
Purushothaman Natarajan, Kamal Basha, Athira Nambiar
Sonar image synthesis is crucial for advancing applications in underwater exploration, marine biology, and defence. Traditional methods often rely on extensive and costly data coll…
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial Intelligence
Purushothaman Natarajan, Athira Nambiar
Deep learning techniques have revolutionized image classification by mimicking human cognition and automating complex decision-making processes. However, the deployment of AI syste…
S3Simulator: A benchmarking Side Scan Sonar Simulator dataset for Underwater Image Analysis
Kamal Basha S, Athira Nambiar
Acoustic sonar imaging systems are widely used for underwater surveillance in both civilian and military sectors. However, acquiring high-quality sonar datasets for training Artifi…
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language Models
Purushothaman Natarajan, Athira Nambiar
Deep Neural Networks (DNNs) have revolutionized various fields by enabling task automation and reducing human error. However, their internal workings and decision-making processes…
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
Sriram Mandalika, Athira Nambiar
Most of the sophisticated AI models utilize huge amounts of annotated data and heavy training to achieve high-end performance. However, there are certain challenges that hinder the…