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
比较表格
| 模型名称 | Accuracy |
|---|---|
| 模型 1 | 77 |
| non-binary-deep-transfer-learning-for | 67.2 |
| non-binary-deep-transfer-learning-for | 85.94 |
| wavemix-lite-a-resource-efficient-neural | 54.62 |
| attend-and-guide-ag-net-a-keypoints-driven | 96.89% |