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few-shot-image-classification-on-mini-5
Few-Shot Image Classification
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Transductive Decoupled Variational Inference for Few-Shot Classification
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84.61
TRIDENT
2022-08-22
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
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63.90
PEMnE-BMS*
2021-10-18
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
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62.49
PT+MAP
2020-06-06
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
49.44
DAPNA
2020-02-06
Matching Networks for One Shot Learning
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45.59
MatchingNet (Vinyals et al., 2016)
2016-06-13
Prototypical Networks for Few-shot Learning
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45.31
ProtoNet (Snell et al., 2017)
2017-03-15
Learning to Compare: Relation Network for Few-Shot Learning
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42.91
RelationNet (Sung et al., 2018)
2017-11-16
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
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40.22
DKT + CosSim
2019-10-11
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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40.15
MAML (Finn et al., 2017)
2017-03-09
HyperShot: Few-Shot Learning by Kernel HyperNetworks
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40.03
HyperShot
2022-03-21
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
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39.00
FEAT (Ye et al., 2018)
2018-12-10
A Closer Look at Few-shot Classification
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33.04
Baseline++ (Chen et al., 2019)
2019-04-08