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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 11–20 of 45 papers

Title	Date	Tasks	Status	Hype	Score
Breaking the Reclustering Barrier in Centroid-based Deep Clustering	Nov 4, 2024	ClusteringDeep Clustering	CodeCode Available	1	5
Improving Cross-domain Few-shot Classification with Multilayer Perceptron	Dec 15, 2023	ClassificationCross-Domain Few-Shot	CodeCode Available	1	5
Improving Self-Organizing Maps with Unsupervised Feature Extraction	Sep 4, 2020	ClassificationGeneral Classification	CodeCode Available	1	5
Improving Unsupervised Image Clustering With Robust Learning	Dec 21, 2020	ClusteringImage Clustering	CodeCode Available	1	5
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	Jun 12, 2016	Generative Adversarial NetworkImage Generation	CodeCode Available	1	5
Capsule Network based Contrastive Learning of Unsupervised Visual Representations	Sep 22, 2022	Contrastive Learningimage-classification	CodeCode Available	1	5
Self-Supervised Classification Network	Mar 19, 2021	ClassificationClustering	CodeCode Available	1	5
Deep Transformation-Invariant Clustering	Jun 19, 2020	ClusteringImage Clustering	CodeCode Available	1	5
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering	Aug 24, 2020	ClusteringGeneral Classification	CodeCode Available	1	5
Unsupervised Deep Embedding for Clustering Analysis	Nov 19, 2015	ClusteringImage Clustering	CodeCode Available	1	5

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