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cs.CV2026
Hierarchical Prompt Learning for Hyperbolic Vision-Language Models
Andro Erdelez, Pascal Mettes, Behzad Bozorgtabar
Hyperbolic vision-language models (VLMs) represent image and text features in a geometry naturally suited to hierarchy, but their adaptation to downstream tasks has largely relied…
cs.CV2026
Fourier Self-Supervision for Fine-Grained Generalized Category Discovery
Sarah Rastegar, Mina Ghadimi Atigh, Pascal Mettes +2
Generalized Category Discovery aims to recognize known categories while identifying novel ones within unlabeled data. Existing methods, typically based on self-supervision and cont…