activity
20222026
most citedExploring the Limits of Deep Image Clustering using Pretrained Models

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CV2023★ 2 cited

Exploring the Limits of Deep Image Clustering using Pretrained Models

Nikolas Adaloglou, Felix Michels, Hamza Kalisch +1

We present a general methodology that learns to classify images without labels by leveraging pretrained feature extractors. Our approach involves self-distillation training of clus…

cs.CV2023★ 1 cited

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

Nikolas Adaloglou, Felix Michels, Tim Kaiser +1

We present a comprehensive experimental study on pretrained feature extractors for visual out-of-distribution (OOD) detection, focusing on adapting contrastive language-image pretr…