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Showing 1 to 2 of 2 for “"modality adaptation"”.

  1. Evaluating Large Language Models for Turboshaft Engine Torque Prediction

    … highlights the importance of prompt design, data modality adaptation, and architectural specialization for achieving competitive performance. Overall, LLMs represent a promising direction for developing scalable and adaptable forecasting solutions in industrial domains.

    uic

  2. Multi-modal object detection in non-corresponding imagery using unsupervised techniques

    … labelled LWIR datasets available, unlike the RGB modality. Collecting, preprocessing and annotating a large dataset is exceptionally time-consuming and expensive. Therefore, we aim to develop novel techniques to achieve high detection rates in small LWIR datasets using unsupervised techniques. Our …

    qu-belfast Repository record for Multi-modal object detection in non-corresponding imagery using unsupervised techniques (opens in a new tab)