Self-Supervised Learning
DeepCluster
Introduced by Caron et al. in Deep Clustering for Unsupervised Learning of Visual FeaturesDeepCluster is a self-supervision approach for learning image representations. DeepCluster iteratively groups the features with a standard clustering algorithm, k-means, and uses the subsequent assignments as supervision to update the weights of the network
Source: Deep Clustering for Unsupervised Learning of Visual Features
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Self-Supervised Learning | 4 | 19.05% |
| Clustering | 4 | 19.05% |
| Graph Learning | 2 | 9.52% |
| Change Detection | 1 | 4.76% |
| Image Classification | 1 | 4.76% |
| Anomaly Detection | 1 | 4.76% |
| Speech Recognition | 1 | 4.76% |
| Face Clustering | 1 | 4.76% |
| imbalanced classification | 1 | 4.76% |
k-Means Clustering
