Few Shot Image Classification On Caltech 256
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MergedNet-Max | 65.77 | MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers | |
| 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 |
0 of 3 row(s) selected.