Sep 1, 2023 · In this paper, we propose decision fusion for few-shot learning (DF-FSL) to overcome the drawbacks of single classifier.

This paper proposes decision fusion for few-shot learning (DF-FSL), which assigns the task to two classifiers, which are the logical regression classifier ...

For the few-shot problem, the test samples come from new classes, which makes it difficult for a single classifier to distinguish, and it can be improved via ...

Recent few-shot learning methods mostly only use a single classifier to complete image classification. In general, a single classifier is likely to be ...

Mar 8, 2022 · Then we fuse the decision to obtain the final classification category. We design a decision attention module to automatically update combination ...

Decision fusion for few-shot image classification. https://doi.org/10.1007/s13735-023-00281-w. Journal: International Journal of Multimedia Information ...

Sep 1, 2023 · For the few-shot problem, the test samples come from new classes, which makes it difficult for a single classifier to distinguish, and it can be ...

Jan 8, 2024 · In this paper, we propose a unified FSL framework with multi-granularity knowledge fusion and decision-making (MGKFD) to overcome the limitation ...

This paper focuses on improving the model performance of few-shot feature generation methods for few-shot image classification. In particular, we attempt to ...

In this work, we build a novel fusion-based framework by em- ploying variational feature learning and feature distribution matching to generate more diverse ...