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SotA/Computer Vision/Image Classification/Dirichlet Mini-Imagenet (5-way, 1-shot)

Image Classification on Dirichlet Mini-Imagenet (5-way, 1-shot)

Metric: 1:1 Accuracy (higher is better)

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#Model↕1:1 Accuracy▼Extra DataPaperDate↕Code
1BAVARDAGE71NoAdaptive Dimension Reduction and Variational Inf...2022-09-18-
2\alpha-TIM67.4NoRealistic Evaluation of Transductive Few-Shot Le...2022-04-24Code
3BD-CSPN67NoPrototype Rectification for Few-Shot Learning2019-11-25Code
4Laplacian-Shot65.4NoLaplacian Regularized Few-Shot Learning2020-06-28Code
5Simpleshot63NoSimpleShot: Revisiting Nearest-Neighbor Classifi...2019-11-12Code
6PT-MAP60.6NoLeveraging the Feature Distribution in Transfer-...2020-06-06Code
7Baseline ++60.4NoA Closer Look at Few-shot Classification2019-04-08Code
8LR-ICI58.7NoInstance Credibility Inference for Few-Shot Lear...2020-03-26Code
9Entropy Minimization58.5NoA Baseline for Few-Shot Image Classification2019-09-06Code
10ProtoNet53.6NoPrototypical Networks for Few-shot Learning2017-03-15Code
11Versa47.8NoMeta-Learning Probabilistic Inference For Predic...2018-05-24Code
12MAML47.6NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code