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SotA/Methodology/Class Incremental Learning/mini-Imagenet

Class Incremental Learning on mini-Imagenet

Metric: Average Accuracy (higher is better)

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#Model↕Average Accuracy▼AugmentationsPaperDate↕Code
1PriViLege95.27NoPre-trained Vision and Language Transformers Are...2024-04-02Code
2SV-T85.07NoSemantic-visual Guided Transformer for Few-shot ...2023-03-27-
3NC-FSCIL67.82No--Code
4C-FSCIL61.61NoConstrained Few-shot Class-incremental Learning2022-03-30Code
5FACT60.7NoForward Compatible Few-Shot Class-Incremental Le...2022-03-14Code
6LIMIT59.06NoFew-Shot Class-Incremental Learning by Sampling ...2022-03-31Code
7CEC57.74NoFew-Shot Incremental Learning with Continually E...2021-04-07Code
8F2M54.89NoOvercoming Catastrophic Forgetting in Incrementa...2021-10-30Code
9IDLVQ-C51.16No---
10AL-MML39.64NoFew-Shot Class-Incremental Learning2020-04-23Code