FelixOtt/gnss_class_incremental_learning

Bayesian Learning-driven Class-Incremental Learning for Adaptive GNSS Interference Classification Latest update: 2025-04-07 Project size: 511 KB Introduction We propose a prototypical network with a Bayesian learning-driven contrastive loss (BLCL) tailored specifically for class-incremental learning scenarios. Therefore, we introduce a contrastive loss that incorporates new classes into the latent representation by reducing the intra-class distance and increasing… See the full description on the dataset page: https://huggingface.co/datasets/FelixOtt/gnss_class_incremental_learning.

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