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Few-shot classification on VGG Flower Meta-Dataset 1.0 (test)

76.21Accuracy (1-shot)SOSN + ArL
43.418851.931960.44568.9581Jan 12, 2020

Evaluation results

MethodLinks
SOSN + ArLLearning Protocol=Supervised2020.0176.21——88.36
SoSN - RL(att.)Learning Protocol=Supervised2020.0174.96——87.21
SOSN - AL(att.)Learning Protocol=Supervised2020.0174.31——86.97
SOSN - AL(cls.)Learning Protocol=Supervised2020.0172.97——85.35
SOSNLearning Protocol=Supervised2020.0171.9——84.87
SOSN - RL(cls.)Learning Protocol=Supervised2020.0171.9——84.87
RN + ArLLearning Protocol=Supervised2020.0171.12——83.49
U-SOSN + ArLLearning Protocol=Unsupervised2020.0169.14——84.1
RNLearning Protocol=Supervised2020.0168.26——80.94
PNLearning Protocol=Supervised2020.0162.81——82.11
U-SOSNLearning Protocol=Unsupervised2020.0161.26——75.98
U-PN + ArLLearning Protocol=Unsupervised2020.0157.61——70.31
U-RN + ArLLearning Protocol=Unsupervised2020.0157.19——70.23
U-RNLearning Protocol=Unsupervised2020.0155.54——68.86
U-PNLearning Protocol=Unsupervised2020.0155.36——68.49
BIGAN(knn)Learning Protocol=Unsupervised2020.0144.68——59.12
FinetuneTraining source=all datasets2019.03—85.283—
fo-MAMLTraining source=all datasets2019.03—79.946—
k-NNTraining source=all datasets2019.03—83.474—
MatchingNetTraining source=all datasets2019.03—81.95—
Proto-MAMLTraining source=all datasets2019.03—88.721—
ProtoNetTraining source=all datasets2019.03—86.852—
RelationNetTraining source=all datasets2019.03—76.087—