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Unsupervised Image Classification

Models that learn to label each image (i.e. cluster the dataset into its ground truth classes) without seeing the ground truth labels.

Image credit: ImageNet clustering results of SCAN: Learning to Classify Images without Labels (ECCV 2020)

Papers

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Showing 1–10 of 45 papers

Title	Date	Tasks	Status	Hype	Score
DeepDPM: Deep Clustering With an Unknown Number of Clusters	Mar 27, 2022	ClusteringDeep Clustering	CodeCode Available	2	5
SCAN: Learning to Classify Images without Labels	May 25, 2020	ClassificationClustering	CodeCode Available	2	5
Let Go of Your Labels with Unsupervised Transfer	Jun 11, 2024	Image ClusteringUnsupervised Image Classification	CodeCode Available	2	5
Improving Unsupervised Image Clustering With Robust Learning	Dec 21, 2020	ClusteringImage Clustering	CodeCode Available	1	5
Breaking the Reclustering Barrier in Centroid-based Deep Clustering	Nov 4, 2024	ClusteringDeep Clustering	CodeCode Available	1	5
Improving Self-Organizing Maps with Unsupervised Feature Extraction	Sep 4, 2020	ClassificationGeneral Classification	CodeCode Available	1	5
iBOT: Image BERT Pre-Training with Online Tokenizer	Nov 15, 2021	image-classificationImage Classification	CodeCode Available	1	5
Deep Transformation-Invariant Clustering	Jun 19, 2020	ClusteringImage Clustering	CodeCode Available	1	5
Adversarial Autoencoders	Nov 18, 2015	ClusteringData Visualization	CodeCode Available	1	5
Capsule Network based Contrastive Learning of Unsupervised Visual Representations	Sep 22, 2022	Contrastive Learningimage-classification	CodeCode Available	1	5

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