Deep Embedded Clustering with Data Augmentation |
DEC-DA |
ACML 2018 |
TensorFlow |
Adaptive Self-paced Deep Clustering with Data Augmentation |
ASPC-DA |
TKDE 2019 |
TensorFlow |
Structural Deep Clustering Network |
SDCN |
WWW 2020 |
Pytorch |
Learning to Cluster Faces on an Affinity Graph |
LTC |
CVPR 2019 |
Pytorch |
Video Face Clustering with Unknown Number of Clusters |
BCL |
ICCV 2019 |
Pytorch |
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body |
ClusterSLAM |
ICCV 2019 |
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Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding |
DGG |
ICCV 2019 |
Coming Soon |
Deep Comprehensive Correlation Mining for Image Clustering |
DCCM |
ICCV 2019 |
Pytorch |
Invariant Information Clustering for Unsupervised Image Classification and Segmentation |
IIC |
ICCV 2019 |
Pytorch |
Subspace Structure-aware Spectral Clustering for Robust Subspace Clustering |
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ICCV 2019 |
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Is an Affine Constraint Needed for Affine Subspace Clustering? |
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ICCV 2019 |
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Deep Spectral Clustering using Dual Autoencoder Network |
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ICCV 2019 |
Tensorflow |
Learning to Discover Novel Visual Categories via Deep Transfer Clustering |
DTC |
ICCV 2019 |
Pytorch |
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering |
RMSL |
ICCV 2019 |
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GEMSEC: Graph Embedding with Self Clustering |
GEMSEC |
ASONAM 2019 |
TensorFlow |
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks |
ClusterGAN |
AAAI 2019 |
TensorFlow |
Adversarial Graph Embedding for Ensemble Clustering |
AGAE |
IJCAI 2019 |
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A Hybrid Autoencoder Network for Unsupervised Image Clustering |
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Algorithms 2019 |
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A Deep Clustering Algorithm based on Gaussian Mixture Model |
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Journal of Physics: Conference Series 2019 |
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Deep Clustering for Unsupervised Learning of Visual Features |
DeepCluster |
ECCV 2018 |
Pytorch |
Deep Clustering with Convolutional Autoencoders |
DCEC |
ICONIP 2018 |
Keras |
SpectralNet: Spectral Clustering Using Deep Neural Networks |
SpectralNet |
ICLR 2018 |
TensorFlow |
Subspace clustering using a low-rank constrained autoencoder |
LRAE |
Information Science 2018 |
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Unsupervised Multi-Manifold Clustering by Learning Deep Representation |
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AAAI 2017 Workshop |
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Deep Discriminative Latent Space for Clustering |
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NIPS 2017 |
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Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering |
DCN |
PMLR 2017 |
Theano |
Deep Unsupervised Clustering With Gaussian Mixture Variational AutoEncoders |
GMVAE |
ICLR 2017 |
Lua |
Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering |
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NIPS 2017 Workshop |
Pytorch |
Improved Deep Embedded Clustering with Local Structure Preservation |
IDEC |
IJCAI 2017 |
Keras,Pytorch |
Deep Clustering via joint convolutional autoencoder embedding and relative entropy minimization |
DEPICT |
ICCV 2017 |
Theano |
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering |
VaDE |
IJCAI 2017 |
Keras |
Deep Subspace Clustering Networks |
DSC-Nets |
NIPS 2017 |
TensorFlow |
Unsupervised Deep Embedding for Clustering Analysis |
DEC |
ICML 2016 |
Caffe TensorFlow |
Joint Unsupervised Learning of Deep Representations and Image Clustering |
JULE |
CVPR 2016 |
Torch |
Clustering Meets Implicit Generative Models |
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ICLR 2019 workshop |
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CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data |
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IEEE Transactions on Multimedia 2017 |
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Deep Embedding Network for Clustering |
DEN |
ICPR 2014 |
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Auto-encoder Based Data Clustering |
ABDC |
CIARP 2013 |
Pytrorch |
Learning Deep Representations for Graph Clustering |
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AAAI 2014 |
python |
Deep Adaptive Image Clustering |
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ICCV 2017 |
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