The combined effect of the mixture of subspaces and synthesized features helps the network not overfit to few-shot data of novel classes and forget base class ...

In this paper, we propose addressing this problem using a mixture of subspaces. Subspaces define the cluster structure of the visual domain and help to describe ...

Few-shot class incremental learning (FSCIL) aims to in- crementally add sets of novel classes to a well-trained base model in multiple training sessions ...

Few-shot class incremental learning (FSCIL) aims to incrementally add sets of novel classes to a well-trained base model in multiple training sessions.

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Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces(ICCV21) [paper]; GP-Tree: A Gaussian Process Classifier for Few-Shot ...

Jan 8, 2024 · Different methods addressed the problem by synthesizing features into a mixture of sub-spaces for incremental classes by using a VAE [7], or by ...

Unlike previous surveys, we aim to synthesize few-shot learning and incremental learning, focusing on introducing FSCIL from two perspectives, while reviewing ...

Few-shot class incremental learning (FSCIL) portrays the problem of learning new concepts gradually, where only a few examples per concept are available to the ...

Here we explore the important task of Few-Shot Class-Incremental Learning (FSCIL) and its extreme data scarcity condition of one-shot. An ideal FSCIL model ...