ADAM combines LLM-generated contextual labels, CLIP embeddings, and nearest-neighbor voting to label novel objects without a predefined class list.
Clustering- based real-time anomaly detection—a breakthrough in big data technologies.Transactions on Emerging Telecommunications Technologies, 33(8):e3647, 2022
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ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations
ADAM combines LLM-generated contextual labels, CLIP embeddings, and nearest-neighbor voting to label novel objects without a predefined class list.