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SotA/Computer Vision/Image Classification/Dirichlet Mini-Imagenet (5-way, 5-shot)

Image Classification on Dirichlet Mini-Imagenet (5-way, 5-shot)

Metric: 1:1 Accuracy (higher is better)

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#Model↕1:1 Accuracy▼Extra DataPaperDate↕Code
1BAVARDAGE83.6NoAdaptive Dimension Reduction and Variational Inf...2022-09-18-
2\alpha-TIM82.5NoRealistic Evaluation of Transductive Few-Shot Le...2022-04-24Code
3Laplacian-Shot81.6NoLaplacian Regularized Few-Shot Learning2020-06-28Code
4BDCSPN80.2NoPrototype Rectification for Few-Shot Learning2019-11-25Code
5Simpleshot80.1NoSimpleShot: Revisiting Nearest-Neighbor Classifi...2019-11-12Code
6Baseline++79.7NoA Closer Look at Few-shot Classification2019-04-08Code
7Entropy Minimization74.8NoA Baseline for Few-Shot Image Classification2019-09-06Code
8ProtoNet74.2NoPrototypical Networks for Few-shot Learning2017-03-15Code
9LR-ICI73.5NoInstance Credibility Inference for Few-Shot Lear...2020-03-26Code
10PT-MAP67.1NoLeveraging the Feature Distribution in Transfer-...2020-06-06Code
11MAML64.5NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code
12Versa61.9NoMeta-Learning Probabilistic Inference For Predic...2018-05-24Code