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Benchmarks
Few-shot Image Classification on CelebA
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87.1
Accuracy
Oracle-MAML
50.0864
59.6957
69.305
78.9143
Oct 4, 2018
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Oracle-MAML
way=2, shot=5
2018.10
87.1
Oracle-ProtoNets
way=2, shot=5
2018.10
85.13
BiGAN CACTUS-MAML
way=2, shot=5
2018.10
74.98
DeepCluster CACTUS-ProtoNets
way=2, shot=5
2018.10
74.15
DeepCluster CACTUS-MAML
way=2, shot=5
2018.10
73.79
BiGAN CACTUS-ProtoNets
way=2, shot=5
2018.10
65.58
Training from scratch
way=2, shot=5
2018.10
63.19
DeepCluster knn-nearest neighbors
way=2, shot=5
2018.10
61.47
DeepCluster MLP with dropout
way=2, shot=5
2018.10
60.65
DeepCluster linear classifier
way=2, shot=5
2018.10
59.57
BiGAN linear classifier
way=2, shot=5
2018.10
58.44
BiGAN MLP with dropout
way=2, shot=5
2018.10
56.26
BiGAN cluster matching
way=2, shot=5
2018.10
56.2
BiGAN knn-nearest neighbors
way=2, shot=5
2018.10
56.15
DeepCluster cluster matching
way=2, shot=5
2018.10
51.51
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