IEEE

Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification

Abstract: Few-Shot Remote Sensing Scene Classification (FSRSSC) aims at recognizing novel categories with only a few labeled samples. Local representations can retain richer details than image-level ...
WISH-TV

Inside the Indianapolis Public Library’s new AI classes

Learn how the Indianapolis Public Library is helping people understand and navigate artificial intelligence through free ...
IEEE

Covariance-Based Space Regularization for Few-Shot Class Incremental Learning

Abstract: Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e., ...