Unsupervised Image Classification On Cifar 10
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
比較表
モデル名 | 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 | - |
モデル 9 | - |