2 papers
cs.CV2025
MECAD: A multi-expert architecture for continual anomaly detection
Malihe Dahmardeh, Francesco Setti
In this paper we propose MECAD, a novel approach for continual anomaly detection using a multi-expert architecture. Our system dynamically assigns experts to object classes based o…
cs.CL2023
A deep Natural Language Inference predictor without language-specific training data
Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro +2
In this paper we present a technique of NLP to tackle the problem of inference relation (NLI) between pairs of sentences in a target language of choice without a language-specific…