Abstract: Few-shot industrial defect segmentation (FIDS) is an extremely challenging task in industrial inspection, which focuses on segmenting unseen defect categories with only a few samples.

Abstract: In federated learning, textual prompt tuning adapts Vision-Language Models (e.g., CLIP) by tuning lightweight input tokens (or prompts) on local client data, while keeping network weights ...