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Found 2 papers, 2 papers with code
Heterogeneous Tri-stream Clustering Network
Contrastive deep clustering has recently gained significant attention with its ability of joint contrastive learning and clustering via deep neural networks.
Strongly Augmented Contrastive Clustering
In this paper, we present an end-to-end deep clustering approach termed Strongly Augmented Contrastive Clustering (SACC), which extends the conventional two-augmentation-view paradigm to multiple views and jointly leverages strong and weak augmentations for strengthened deep clustering.
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