15 citations · 18 across the 5 of their papers we have counts for
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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…