Oct 22, 2020 · We propose a non-parametric approach to this FSL problem by assuming that all the class prototypes are structurally arranged on a manifold.

Dec 7, 2020 · We propose a non-parametric approach to this FSL problem by assuming that all the class prototypes are structurally arranged on a manifold.

This paper proposes a non-parametric approach to this FSL problem by assuming that all the class prototypes are structurally arranged on a manifold and ...

In this paper, we extend the traditional few-shot learning (FSL) problem to the situation when the source-domain data is not accessible but only high-level ...

In this paper, we extend the traditional few-shot learning (FSL) problem to the situation when the source-domain data is not accessible but only high-level ...

Sep 26, 2024 · This paper introduces a zero/few-shot framework for detecting AI-generated images by analyzing the inherent biases of a pre-trained diffusion ...

Aug 12, 2024 · We present a novel method for determining the similarity between two manifold structures. This method can be used to determine whether the target and source ...

In this paper, we extend the traditional few-shot learning (FSL) problem to the situation when the source-domain data is not accessible but only high-level ...

Few-shot image classification aims to accurately classify unlabeled images using only a few labeled samples. The state-of-the-art solutions are built by ...

Few-shot learning (FSL) based on manifold regularization aims to improve the recognition capacity of novel objects with limited training samples by mixing ...