6 citations · 12 across the 16 of their papers we have counts for
4 papers · 2 filters
Domain Prompt Learning with Quaternion Networks
Qinglong Cao, Zhengqin Xu, Yuntian Chen +2
Prompt learning has emerged as an effective and data-efficient technique in large Vision-Language Models (VLMs). However, when adapting VLMs to specialized domains such as remote s…
Domain-Controlled Prompt Learning
Qinglong Cao, Zhengqin Xu, Yuntian Chen +2
Large pre-trained vision-language models, such as CLIP, have shown remarkable generalization capabilities across various tasks when appropriate text prompts are provided. However,…
Reflection Invariance Learning for Few-shot Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma +1
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…
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma +1
Few-shot aerial image segmentation is a challenging task that involves precisely parsing objects in query aerial images with limited annotated support. Conventional matching method…