2 papers
cs.CV2024
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Jintao Rong, Hao Chen, Linlin Ou +3
The Contrastive Language-Image Pretraining (CLIP) model has been widely used in various downstream vision tasks. The few-shot learning paradigm has been widely adopted to augment i…
cs.CV2024
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings
Wei Yin, Yifan Liu, Chunhua Shen +2
We propose an approach to semantic segmentation that achieves state-of-the-art supervised performance when applied in a zero-shot setting. It thus achieves results equivalent to th…