Image Classification On Malaria Dataset
评估指标
Acc. (test)
PARAMS
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Acc. (test) | PARAMS | Paper Title | Repository |
---|---|---|---|---|
kEffNet-B0 V2 16ch | 97.61% | 0.61M | An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints | |
µ2Net+ (ViT-L/16) | 97.46% | - | A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems | |
kEffNet-B0 V2 2ch | 96.70% | 0.3M | An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints |
0 of 3 row(s) selected.