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SotA/Methodology/Continual Learning/mini-Imagenet

Continual Learning on mini-Imagenet

Metric: Last Accuracy (higher is better)

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#Model↕Last Accuracy ▼AugmentationsPaperDate↕Code
1CoACT96.24NoFew-shot Tuning of Foundation Models for Class-i...2024-05-26Code
2PriViLege94.1NoPre-trained Vision and Language Transformers Are...2024-04-02Code
3SV-T81.65NoSemantic-visual Guided Transformer for Few-shot ...2023-03-27-
4BOT59.57NoA Bag of Tricks for Few-Shot Class-Incremental L...2024-03-21-
5NC-FSCIL58.31No--Code
6C-FSCIL51.41NoConstrained Few-shot Class-incremental Learning2022-03-30Code
7FACT50.49NoForward Compatible Few-Shot Class-Incremental Le...2022-03-14Code
8LIMIT49.19NoFew-Shot Class-Incremental Learning by Sampling ...2022-03-31Code
9F2M47.84NoOvercoming Catastrophic Forgetting in Incrementa...2021-10-30Code
10CEC47.63NoFew-Shot Incremental Learning with Continually E...2021-04-07Code
11IDLVQ-C41.84No---
12AL-MML24.42NoFew-Shot Class-Incremental Learning2020-04-23Code