Deep Clustering with Features from Self-Supervised Pretraining

27 July 2022

Papers citing "Deep Clustering with Features from Self-Supervised Pretraining"

5 / 5 papers shown

Title
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity Zahra Gharaee Scott C. Lowe ZeMing Gong Pablo Millán Arias Nicholas Pellegrino ... Lila Kari Dirk Steinke Graham W. Taylor Paul Fieguth Angel X. Chang 132 11 0 28 Jan 2025
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders Scott C. Lowe Joakim Bruslund Haurum Sageev Oore T. Moeslund Graham W. Taylor SSL 120 4 0 04 Jun 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 75 3 0 01 Mar 2024
Exploring the Limits of Deep Image Clustering using Pretrained Models Nikolas Adaloglou Félix D. P. Michels Hamza Kalisch M. Kollmann VLM 80 29 0 31 Mar 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 332 4,109 0 17 Jun 2020