Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

Author:

Song Zeyin1,Zhao Yifan2,Shi Yujun3,Peng Peixi2,Yuan Li1,Tian Yonghong1

Affiliation:

1. School of Electronic and Computer Engineering, Peking University

2. School of Computer Science, Peking University

3. National University of Singapore

Funder

National Key R&D Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Reference58 articles.

1. Large margin deep networks for classification;elsayed;NeurIPS,0

2. Class-incremental learning via dual augmentation;zhu;NeurIPS,0

3. Few-Shot Class-Incremental Learning via Relation Knowledge Distillation

4. Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

5. Unsupervised representation learning by predicting image rotations;gidaris;ArXiv Preprint,2018

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3. Few-Shot Class-Incremental Learning with Class Centers and Contrastive Learning for Incremental Vehicle Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Class similarity weighted knowledge distillation for few shot incremental learning;Neurocomputing;2024-06

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