uCAP: an unsupervised prompting method for vision-language models
This paper addresses a significant limitation that prevents Contrastive Language-Image Pretrained Models (CLIP) from achieving optimal performance on downstream image classification tasks. The key problem with CLIP-style zero-shot classification is that it requires domain-specific context in the for...
| Автори: | , , , , , , , |
|---|---|
| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Springer
2024
|