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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.CV2026
RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance
Xianbao Hou, Yonghao He, Zeyd Boukhers +4
Diffusion models have significantly mitigated the impact of annotated data scarcity in remote sensing (RS). Although recent approaches have successfully harnessed these models to e…