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Few Shot Image Classification On Caltech 256
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
| Paper Title | Repository | ||
|---|---|---|---|
| UL-Hopfield (ULH) | 74.7 | Unsupervised Learning using Pretrained CNN and Associative Memory Bank | - |
| Delta-encoder | 73.2 | Delta-encoder: an effective sample synthesis method for few-shot object recognition | |
| MergedNet-Max | 65.77 | MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers | - |
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