In this paper, we propose advanced prototype machines (APMs). APMs model classes as small sets of highly descriptive prototypes which are well suited for ...

Abstract. In this paper, we propose advanced prototype machines. (APMs). APMs model classes as small sets of highly de- scriptive prototypes which are well ...

Abstract. In this paper, we propose advanced prototype machines. (APMs). APMs model classes as small sets of highly de- scriptive prototypes which are well ...

APMs achieve fast and accurate classification that is based on compact class models which can be explored by interactive visualization. Our experimen- tal ...

Apr 13, 2024 · We propose an adaptive probing mechanism that introduces learnable potential prototypes to expand cluster prototypes (centers).

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification. The modules implemented in this repo can be applied to any ...

Abstract. Classification and clustering are, without doubt, among the most frequently encountered data analysis tasks. This thesis provides a comprehensive ...

Nov 22, 2022 · The selection process is an actual prototype learning process which is the process of deciding which patterns are retained as prototypes.

Oct 5, 2023 · In this paper, we propose our method called Proto-. typeFormer, which aims to significantly advance traditional few-shot image classification ...

Dec 7, 2023 · Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification problems, especially in scenarios where labelled data ...