Uncertainty-aware distillation for semi-supervised few-shot class-incremental learning

Y Cui, W Deng, H Chen, L Liu - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Given a model well-trained with a large-scale base dataset, few-shot class-incremental
learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …
被引用次数：17 相关文章

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Y Cui, W Deng, H Chen, L Liu - IEEE transactions on neural … - pubmed.ncbi.nlm.nih.gov
Given a model well-trained with a large-scale base dataset, few-shot class-incremental
learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Y Cui, W Deng, H Chen, L Liu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Given a model well-trained with a large-scale base dataset, Few-Shot Class-Incremental
Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning.

Y Cui, W Deng, H Chen, L Liu - IEEE Transactions on Neural …, 2023 - europepmc.org
Given a model well-trained with a large-scale base dataset, few-shot class-incremental
learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Y Cui, W Deng, H Chen, L Liu - arXiv preprint arXiv:2301.09964, 2023 - arxiv.org
Given a model well-trained with a large-scale base dataset, Few-Shot Class-Incremental
Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …