OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. (arXiv:2206.02338v1 [cs.CV])

This paper presents a language-powered paradigm for ordinal regression.
Existing methods usually treat each rank as a category and employ a set of
weights to learn these concepts. These methods are easy to overfit and usually
attain unsatisfactory performance as the learned concepts are mainly derived
from the training set. Recent large pre-trained vision-language models like
CLIP have shown impressive performance on various visual tasks. In this paper,
we propose to learn the rank concepts from the rich semantic CLIP …

arxiv cv language learning ordinal regression