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SOTA
Image Clustering
Image Clustering On Usps
Image Clustering On Usps
Metriken
Accuracy
NMI
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
NMI
Paper Title
Repository
DTI-Clustering
0.864
0.882
Deep Transformation-Invariant Clustering
DEN
0.979
0.944
Interpretable Visualizations with Differentiating Embedding Networks
ClusterGAN
0.970
0.931
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
-
AGDL
-
0.824
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
DMSC
0.951
0.929
Deep Multimodal Subspace Clustering Networks
DBC
0.743
0.724
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
PSSC
0.957
0.898
Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
JULE-RC
-
0.913
Joint Unsupervised Learning of Deep Representations and Image Clusters
SPC
0.984
0.954
Selective Pseudo-label Clustering
DDC-DA
0.977
0.939
Deep Density-based Image Clustering
DDC
0.967
0.918
Deep Density-based Image Clustering
SR-K-means
0.974
0.936
Deep clustering: On the link between discriminative models and K-means
DynAE
0.981
0.948
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
N2D (UMAP)
0.958
0.901
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
Tree-SNE
-
0.885
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
DnC-SC
0.8255
0.8286
-
-
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