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cs.CV2025
On the rankability of visual embeddings
Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
We study whether visual embedding models capture continuous, ordinal attributes along linear directions, which we term _rank axes_. We define a model as _rankable_ for an attribute…
cs.CV2025
Diffusion Classifiers Understand Compositionality, but Conditions Apply
Yujin Jeong, Arnas Uselis, Seong Joon Oh +1
Understanding visual scenes is fundamental to human intelligence. While discriminative models have significantly advanced computer vision, they often struggle with compositional un…
cs.CV2025
CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
Darina Koishigarina, Arnas Uselis, Seong Joon Oh
CLIP (Contrastive Language-Image Pretraining) has become a popular choice for various downstream tasks. However, recent studies have questioned its ability to represent composition…