Unsupervised Image Classification On Cifar 10
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 |
|---|---|
| ipcl-iterative-pseudo-supervised-contrastive | 88.81 |
| learning-to-classify-images-without-labels | - |
| invariant-information-distillation-for | - |
| stable-cluster-discrimination-for-deep-1 | - |
| let-go-of-your-labels-with-unsupervised-1 | - |
| unsupervised-visual-representation-learning-3 | - |
| improving-unsupervised-image-clustering-with | - |
| mitigating-embedding-and-class-assignment | - |
| 模型 9 | - |