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cs.CV2026
TecoPrompt: Temporal-Conservative Prompt Learning for Vision-Language Models
Zeyi Shao, Haowen Hua, Jiaxin Zhang +3
Prompt learning adapts vision-language models, such as CLIP, by adjusting a small set of context tokens. However, under few-shot supervision, even moderate label noise can disrupt…
cs.CV2024
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space
Yonghao He, Hu Su, Haiyong Yu +4
Open-set object detection (OSOD) is highly desirable for robotic manipulation in unstructured environments. However, existing OSOD methods often fail to meet the requirements of ro…