DeepCluster
2000년 도입 · 논문 10편에서 사용
DeepCluster 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
출처: Deep Clustering for Unsupervised Learning of Visual Features
소개 논문: Deep Clustering for Unsupervised Learning of Visual Features
Self-Supervised Learning · General