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DPOD: Domain-Specific Prompt Tuning for Multimodal Fake News Detection
In this work, we explore whether out-of-domain data can help to improve out-of-context misinformation detection (termed here as multi-modal fake news detection) of a desired domain, to address this challenging problem.
A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images
Segmentation plays an important role in identification of white blood cells (WBC) from microscopic image analysis.
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
Federated Learning (FL) helps AI models to generalize better and create a robust AI model by using data from different sources having different distributions and data characteristics without moving all the data to a central server.
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