Linyan Li

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning

2021 · IEEE Transactions on Multimedia

Using generative models to synthesize visual features from semantic distribution is one of the most popular solutions to ZSL image classification in recent years. The triplet loss (TL) is popularly used to generate realistic visual …

Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning

2023 · arXiv (Cornell University)

Few-shot class-incremental learning (FSCIL) aims to build machine learning model that can continually learn new concepts from a few data samples, without forgetting knowledge of old classes. The challenges of FSCIL lies in the limited …