Qinglong Cao

Reflection Invariance Learning for Few-shot Semantic Segmentation

2023 · arXiv (Cornell University)

Few-shot semantic segmentation (FSS) aims to segment objects of unseen classes in query images with only a few annotated support images. Existing FSS algorithms typically focus on mining category representations from the single-view support to …

Domain-Controlled Prompt Learning

2023 · arXiv (Cornell University)

Large pre-trained vision-language models, such as CLIP, have shown remarkable generalization capabilities across various tasks when appropriate text prompts are provided. However, adapting these models to specific domains, like remote sensing images (RSIs), medical images, …